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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. 8454
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    oai_token-act-pair · gpt-3.5-turbo

    the presence of slashes or division symbols

    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
     Moody
    -0.75
    kson
    -0.72
     Faw
    -0.68
     tender
    -0.67
     lapse
    -0.64
     MacArthur
    -0.63
     Patton
    -0.63
     Pepsi
    -0.63
     conversions
    -0.63
     Briggs
    -0.63
    POSITIVE LOGITS
    usr
    1.21
    \/\/
    1.19
    ËĪ
    1.14
    Film
    1.07
    ********************************
    1.02
    home
    0.97
    pol
    0.96
    embed
    0.95
    etc
    0.94
    photos
    0.94
    Activations Density 0.025%

    No Known Activations