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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. 2001
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    components and processes related to energy generation and consumption

    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
    illard
    -0.79
     understatement
    -0.78
    dain
    -0.73
    arenthood
    -0.70
     pics
    -0.68
    ebus
    -0.67
    姫
    -0.67
    Politics
    -0.66
     Streets
    -0.66
    audi
    -0.64
    POSITIVE LOGITS
     consisting
    0.98
     periodically
    0.86
     resembling
    0.85
     whereby
    0.77
    shaped
    0.76
    similar
    0.76
    like
    0.72
     called
    0.72
     predetermined
    0.72
     overseen
    0.70
    Activations Density 0.738%

    No Known Activations