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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. 13475
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    Explanations

    sequences that describe sports events, particularly football plays

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and sentence endings

    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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    No Comments

    Negative Logits
     metic
    -0.92
     mosqu
    -0.73
    iber
    -0.72
    ibur
    -0.72
    zens
    -0.72
     purse
    -0.72
    thal
    -0.71
    oshenko
    -0.71
     challeng
    -0.70
     nodd
    -0.69
    POSITIVE LOGITS
     However
    0.98
     Afterwards
    0.96
     Unless
    0.96
     Especially
    0.94
     Besides
    0.92
    Downloadha
    0.91
     Whether
    0.89
     Therefore
    0.89
     Though
    0.88
     Unfortunately
    0.88
    Activations Density 1.406%

    No Known Activations