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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
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    Explanations

    mentions of schools and educational institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to educational institutions, specifically schools and colleges

    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
    âĹ¼
    -0.74
    pread
    -0.68
    lihood
    -0.67
     deliveries
    -0.66
    pload
    -0.66
    haar
    -0.65
    illon
    -0.63
     Gren
    -0.62
     dehyd
    -0.61
     Trudeau
    -0.60
    POSITIVE LOGITS
    wide
    0.96
    mates
    0.83
    ¥µ
    0.77
    mate
    0.75
    é¾
    0.74
    boys
    0.74
    natureconservancy
    0.73
    keyes
    0.71
    uay
    0.69
    beer
    0.69
    Activations Density 0.060%

    No Known Activations