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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. 1-RES-JB
    11. 20711
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    Explanations

    references\references to monthly occurrences or obligations

    oai_token-act-pair · gpt-3.5-turbo

    references to monthly recurring events or payments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    UTF
    -0.79
    lda
    -0.76
    argon
    -0.76
    Ability
    -0.75
    AME
    -0.75
    enes
    -0.75
    LESS
    -0.73
    ��
    -0.71
    aine
    -0.70
    inelli
    -0.70
    POSITIVE LOGITS
     installments
    1.11
     monthly
    1.05
     occas
    1.03
     upkeep
    0.95
     subscriptions
    0.92
     premiums
    0.91
    urnal
    0.89
    aturdays
    0.88
     veter
    0.88
     quarterly
    0.87
    Activations Density 0.008%

    No Known Activations