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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. 8455
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    Explanations

    mentions of running backs in American football

    oai_token-act-pair · gpt-3.5-turbo

    references to running backs in football

    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
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    Negative Logits
    olia
    -0.82
    ushima
    -0.71
    illery
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    ortium
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    umbn
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    opol
    -0.69
    ipop
    -0.69
    oshop
    -0.68
    ymes
    -0.66
     plur
    -0.65
    POSITIVE LOGITS
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    0.85
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    0.80
     mate
    0.79
    wear
    0.77
    estones
    0.71
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    0.70
    gs
    0.68
    swick
    0.68
     downhill
    0.68
    ners
    0.67
    Activations Density 0.046%

    No Known Activations