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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. 6-RES-JB
    11. 14799
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inel
    -0.87
    pez
    -0.78
    ilipp
    -0.78
    enta
    -0.75
    arro
    -0.72
    anto
    -0.71
    nesota
    -0.71
    ippi
    -0.70
    orgetown
    -0.70
    okin
    -0.69
    POSITIVE LOGITS
     bundle
    1.16
     bundles
    1.11
    undle
    0.95
     bund
    0.95
     Bundle
    0.94
     bundled
    0.79
    halla
    0.72
     Bund
    0.71
     together
    0.71
    âĶģ
    0.66
    Activations Density 0.017%

    No Known Activations