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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. 10-RES-JB
    11. 20450
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    Explanations

    numerical quantities and measurements

    oai_token-act-pair · gpt-3.5-turbo

    expressions of collective action and social responsibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     diving
    -0.78
     curves
    -0.77
     proport
    -0.77
    abouts
    -0.72
     swoop
    -0.68
     unexplained
    -0.68
     composing
    -0.67
     footing
    -0.67
     boun
    -0.66
     lookout
    -0.65
    POSITIVE LOGITS
    ³³³³³³³³
    1.03
    ³³³³
    1.00
    ³³³³³³³³³³³³³³³³
    0.96
    ³³³
    0.94
    Politics
    0.90
    Tonight
    0.89
    AMY
    0.88
    Posted
    0.88
    posted
    0.87
    Republican
    0.85
    Activations Density 0.421%

    No Known Activations