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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 12289
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    Explanations

    large entities or institutions related to various industries or sectors

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to various professions, institutions, and economic factors

    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
     Niet
    -0.64
     Vaugh
    -0.59
    atever
    -0.59
    OLOG
    -0.57
     Azerb
    -0.56
    sche
    -0.55
    âĸ¬
    -0.55
    Honest
    -0.53
    retty
    -0.53
    Reloaded
    -0.53
    POSITIVE LOGITS
    paces
    1.12
    hips
    1.11
    mith
    1.08
    hip
    1.06
    chool
    1.04
    cale
    0.92
    pace
    0.91
    creen
    0.88
    hops
    0.82
    ystem
    0.82
    Activations Density 0.620%

    No Known Activations