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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 4285
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    Explanations

    specific names of entities

    oai_token-act-pair · gpt-3.5-turbo

    specific names or titles associated with entertainment and media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    theless
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     referen
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     concerned
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     subscribed
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     conclud
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    âĶĢâĶĢ
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     describ
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     logically
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     endowed
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     revolving
    -0.66
    POSITIVE LOGITS
    zes
    0.94
    itars
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    eworks
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    indal
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    naire
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    omaly
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    itaire
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     Designs
    0.82
    enstein
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    plates
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    Activations Density 0.370%

    No Known Activations