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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. 4-RES-JB
    11. 20169
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    Explanations

    Japanese words or names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and unique identifiers related to people and organizations

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

    Negative Logits
    yip
    -0.95
    ll
    -0.81
    enberg
    -0.79
    ysc
    -0.78
    rals
    -0.76
    ered
    -0.75
    roxy
    -0.75
    ering
    -0.74
    resso
    -0.73
    dule
    -0.73
    POSITIVE LOGITS
    XM
    0.75
     derog
    0.72
     Jericho
    0.72
    ilee
    0.69
    ISM
    0.68
    WB
    0.68
    FUL
    0.67
    KR
    0.62
    OD
    0.62
     Titanium
    0.61
    Activations Density 0.027%

    No Known Activations