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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. 7-RES-JB
    11. 18827
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    Explanations

    mentions of authors

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "author" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ll
    -0.68
     Breaker
    -0.67
    EMS
    -0.64
     Spears
    -0.64
     Nicaragua
    -0.64
     Bots
    -0.63
     USDA
    -0.63
     Territories
    -0.63
     Eastern
    -0.62
     Bourbon
    -0.62
    POSITIVE LOGITS
    itatively
    1.62
    itar
    1.29
    itarian
    1.22
    itative
    1.16
    hip
    1.08
    essee
    0.99
    emis
    0.97
    izations
    0.94
    isations
    0.92
    sonian
    0.86
    Activations Density 0.034%

    No Known Activations