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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. 5999
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    Explanations

    proper nouns, specifically focusing on names

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of "goalkeeping" or "goalies" in sports

    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
    Not in Any Lists

    No Comments

    Negative Logits
    nesota
    -0.83
    anyl
    -0.82
    stones
    -0.82
    soDeliveryDate
    -0.77
     teasp
    -0.77
    dfx
    -0.76
    perse
    -0.74
    INESS
    -0.73
    itably
    -0.72
    izont
    -0.72
    POSITIVE LOGITS
    zzi
    0.87
    ante
    0.83
    rer
    0.81
    zza
    0.76
    ë
    0.75
    ague
    0.75
    ktop
    0.74
    ctr
    0.73
    ire
    0.73
    zona
    0.71
    Activations Density 0.015%

    No Known Activations