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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. 6-RES-JB
    11. 13039
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    Explanations

    references to sports teams, particularly the Chicago Bears

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Chicago Bears football team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umbn
    -0.73
    ADRA
    -0.72
    onymous
    -0.71
    arin
    -0.70
    akuya
    -0.69
    umbnails
    -0.68
    axter
    -0.67
    aline
    -0.65
    ugu
    -0.65
    opus
    -0.65
    POSITIVE LOGITS
     Bears
    1.14
     Tribune
    0.84
     Drill
    0.75
    mallow
    0.75
    Cola
    0.75
     Cubs
    0.72
    hof
    0.72
    feet
    0.72
     Packers
    0.72
    ãĥ£
    0.71
    Activations Density 0.019%

    No Known Activations