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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. 2900
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to borrowing and quoting

    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
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    Negative Logits
    arnaev
    -0.67
    utenberg
    -0.65
    commit
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    uador
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    acca
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    ebra
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    uterte
    -0.60
     HRC
    -0.60
    20439
    -0.59
    owa
    -0.58
    POSITIVE LOGITS
    ...)
    0.70
    _.
    0.67
    *)
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    âĢ¦)
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     inclined
    0.65
     paraph
    0.64
     Byz
    0.63
     charism
    0.62
    ,)
    0.60
     arg
    0.60
    Activations Density 0.300%

    No Known Activations