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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. 296
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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 @ 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
     raised
    -0.46
     apart
    -0.45
     campaigned
    -0.44
     raising
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     overall
    -0.43
     upfront
    -0.43
     coupled
    -0.43
     risked
    -0.43
     concentrated
    -0.43
     albeit
    -0.42
    POSITIVE LOGITS
    ggles
    0.97
    ilet
    0.87
    pload
    0.80
    dos
    0.77
    pless
    0.73
    asters
    0.71
    ffee
    0.71
    asts
    0.69
    othy
    0.69
    wered
    0.68
    Activations Density 0.080%

    No Known Activations