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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. 8-RES-JB
    11. 11945
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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    abase
    -0.79
    ilts
    -0.77
    tein
    -0.67
     Iw
    -0.63
    ements
    -0.60
    eer
    -0.58
    ivas
    -0.57
    lyak
    -0.57
    ilial
    -0.56
     practise
    -0.55
    POSITIVE LOGITS
    »Ĵ
    0.72
    anooga
    0.70
    ournal
    0.66
     weekday
    0.63
    amacare
    0.63
    bleacher
    0.63
    ĪĴ
    0.62
    Daily
    0.61
    isode
    0.61
    aturdays
    0.60
    Activations Density 0.055%

    No Known Activations