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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 7836
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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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    essee
    -0.92
    eri
    -0.91
    interstitial
    -0.86
    ice
    -0.81
    ews
    -0.74
    oking
    -0.73
    nery
    -0.73
    merga
    -0.73
    aut
    -0.72
    esthes
    -0.72
    POSITIVE LOGITS
     Highlights
    1.22
     Fi
    0.83
     Battery
    0.80
    ailable
    0.74
     Improvement
    0.71
     SOFTWARE
    0.69
     Wilmington
    0.69
     Includes
    0.69
     Significant
    0.68
     Phant
    0.68
    Activations Density 0.016%

    No Known Activations