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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. 10-RES-JB
    6. 19976
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    Explanations

    phrases related to the concept of applying rules or principles to different scenarios

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate applicability or relevance to various subjects or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    erd
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    heit
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    ight
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    iev
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    FORMATION
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    icter
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    ikk
    -0.69
    achev
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    ipedia
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    inus
    -0.68
    POSITIVE LOGITS
     every
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     everyone
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     other
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     all
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     EVERY
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     virtually
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     many
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     ALL
    0.82
    Activations Density 0.205%

    No Known Activations