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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. 9-RES-JB
    11. 15583
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    oai_token-act-pair · gpt-3.5-turbo

    references to legal or court-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Gael
    -0.57
     athlet
    -0.54
     marrow
    -0.49
     Mazda
    -0.48
    anyl
    -0.47
    roleum
    -0.47
     Lumpur
    -0.46
    Char
    -0.45
     kidding
    -0.44
    lly
    -0.44
    POSITIVE LOGITS
    .'
    0.73
    .�
    0.68
    .'"
    0.63
    mentioned
    0.62
    '.
    0.60
    .]
    0.60
    .
    0.59
     aforementioned
    0.58
     mentioned
    0.58
    hent
    0.57
    Activations Density 1.302%

    No Known Activations