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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. 2607
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    Explanations

    large numbers and statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to trends and statistics

    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
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    No Comments

    Negative Logits
     gol
    -0.75
     sche
    -0.73
    aptic
    -0.73
    chev
    -0.71
    dit
    -0.70
     Canter
    -0.69
     glide
    -0.69
     Sup
    -0.69
    arij
    -0.69
    ente
    -0.68
    POSITIVE LOGITS
     statistic
    1.41
    Statistics
    1.34
     statistics
    1.33
    Numbers
    1.28
     numbers
    1.28
     tally
    1.26
    Number
    1.23
     estimates
    1.19
     Numbers
    1.19
    number
    1.17
    Activations Density 0.918%

    No Known Activations