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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. 11-RES-JB
    11. 21577
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    Explanations

    sentences containing direct quotes

    oai_token-act-pair · gpt-3.5-turbo

    quotation marks and speech-related punctuation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     metic
    -1.01
     Mystic
    -0.77
     shutter
    -0.77
     tough
    -0.77
     daylight
    -0.76
     Uni
    -0.76
     plaque
    -0.76
     oun
    -0.75
     dense
    -0.75
     youth
    -0.74
    POSITIVE LOGITS
    could
    1.94
    should
    1.90
    must
    1.89
    would
    1.89
    didn
    1.84
    will
    1.84
    was
    1.84
    has
    1.83
    had
    1.81
    does
    1.78
    Activations Density 0.191%

    No Known Activations