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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. 8-RES-JB
    6. 18126
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    Explanations

    statistics or figures within a larger context

    oai_token-act-pair · gpt-3.5-turbo

    references to specific entities or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Tes
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    sed
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    arius
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    Compat
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    nor
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    zed
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    FontSize
    -0.59
    ctor
    -0.59
    Avg
    -0.58
    ONSORED
    -0.58
    POSITIVE LOGITS
     they
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     there
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    reau
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    thood
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    uckle
    0.60
    orescence
    0.58
     one
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    essional
    0.57
     consisted
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     we
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    Activations Density 0.027%

    No Known Activations