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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. 8-RES-JB
    11. 2755
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    Explanations

    references to different sports seasons

    oai_token-act-pair · gpt-3.5-turbo

    references to sports seasons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    creen
    -0.74
    ogle
    -0.69
     encl
    -0.68
    hai
    -0.67
    rity
    -0.65
    dit
    -0.63
     touchscreen
    -0.63
    sight
    -0.62
     instantaneous
    -0.62
     lime
    -0.62
    POSITIVE LOGITS
     opener
    1.11
     finale
    1.07
    Coach
    0.80
     unbeaten
    0.77
    bleacher
    0.74
     coached
    0.70
     premiere
    0.70
    orsi
    0.70
     Coach
    0.69
     Playoffs
    0.68
    Activations Density 0.062%

    No Known Activations