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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. 9-RES-JB
    11. 1581
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    INDEX
    Explanations

    proper nouns, specifically names

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of individuals, specifically titles and names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LET
    -0.77
    iae
    -0.76
     appre
    -0.75
    Interstitial
    -0.74
     tremend
    -0.74
    TOR
    -0.73
    ËĪ
    -0.73
    archives
    -0.72
     livest
    -0.72
    pmwiki
    -0.71
    POSITIVE LOGITS
     Farage
    1.05
     Turnbull
    1.03
     Abbott
    1.01
     Corbyn
    0.99
     Osborne
    0.95
     Hyde
    0.95
     Cameron
    0.95
     Miliband
    0.92
     Hollande
    0.92
     Kejriwal
    0.92
    Activations Density 0.041%

    No Known Activations