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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. 11-RES-JB
    11. 23020
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to physical attributes and environmental contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĤ¨ãĥ«
    -0.87
    ãĥ¥
    -0.82
    ificent
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    »Ĵ
    -0.79
    ãĥĥãĥī
    -0.78
    ippery
    -0.77
    imaru
    -0.77
    usky
    -0.76
    intend
    -0.74
    Built
    -0.73
    POSITIVE LOGITS
     syndrome
    0.97
    edly
    0.95
     fallacy
    0.80
     affair
    0.75
     approach
    0.75
    ned
    0.74
     solutions
    0.73
     deployments
    0.72
     approaches
    0.72
     mode
    0.71
    Activations Density 0.488%

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