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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. 7777
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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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    Negative Logits
    icter
    -0.75
    itaire
    -0.72
    ards
    -0.66
     itself
    -0.65
    aldehyde
    -0.65
    rollers
    -0.64
    orks
    -0.63
    culus
    -0.62
    Ĥİ
    -0.62
    arth
    -0.62
    POSITIVE LOGITS
     possessions
    1.04
     rivals
    1.04
     nem
    1.00
     concern
    0.99
     asset
    0.97
     ally
    0.96
    favorite
    0.96
     accomplishment
    0.95
     accomplishments
    0.95
     adversaries
    0.95
    Activations Density 0.192%

    No Known Activations