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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. 7-RES-JB
    11. 8752
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms and concepts related to technology and digital content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     certainty
    -0.63
     joints
    -0.62
     entrepreneurship
    -0.60
     footing
    -0.59
     dime
    -0.58
     pessimistic
    -0.57
     horsepower
    -0.57
     heel
    -0.57
     creativity
    -0.56
     bondage
    -0.56
    POSITIVE LOGITS
    dit
    0.94
    ukong
    0.93
    fen
    0.90
    phrine
    0.89
    milo
    0.88
    furt
    0.87
    sson
    0.86
    theless
    0.85
    chev
    0.81
    lihood
    0.80
    Activations Density 0.317%

    No Known Activations