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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. 1034
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    oai_token-act-pair · gpt-3.5-turbo

    HTML tags and structure elements

    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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    Negative Logits
     brutally
    -0.74
     harshly
    -0.69
     wrongly
    -0.68
     deval
    -0.68
     injust
    -0.66
     ultras
    -0.65
    76561
    -0.65
     reperc
    -0.65
     sounding
    -0.64
     vulner
    -0.63
    POSITIVE LOGITS
    div
    1.05
    sv
    1.04
    select
    0.88
    TABLE
    0.86
    template
    0.85
    figure
    0.84
    paragraph
    0.81
    td
    0.81
    window
    0.78
    mission
    0.78
    Activations Density 0.011%

    No Known Activations