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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. 8068
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    timestamps and dates

    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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    Negative Logits
     unpredictable
    -0.72
     unpredict
    -0.70
     imagination
    -0.69
     unin
    -0.63
     conce
    -0.62
     multic
    -0.60
     mism
    -0.60
    gling
    -0.59
     steroids
    -0.59
     forging
    -0.59
    POSITIVE LOGITS
     RELEASE
    0.86
     UTC
    0.78
     Apply
    0.78
    Reviewed
    0.77
     Updated
    0.77
     Masquerade
    0.76
     08
    0.76
     07
    0.72
     Runtime
    0.70
     06
    0.69
    Activations Density 0.054%

    No Known Activations