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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. 5060
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically quotation marks and apostrophes

    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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    No Comments

    Negative Logits
     honors
    -0.84
     honor
    -0.81
     favor
    -0.81
     bunk
    -0.76
     grades
    -0.74
     eligible
    -0.71
     nude
    -0.71
     slam
    -0.71
     clo
    -0.71
     grade
    -0.70
    POSITIVE LOGITS
    It
    1.40
    Therefore
    1.39
    However
    1.38
    They
    1.37
    Whereas
    1.35
    We
    1.34
    There
    1.33
    Because
    1.29
    If
    1.29
    Hopefully
    1.28
    Activations Density 0.111%

    No Known Activations