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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. 1-RES-JB
    11. 13294
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to legislative or regulatory measures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    furt
    -0.92
    Lens
    -0.80
    redients
    -0.78
    Export
    -0.78
    heid
    -0.77
    bats
    -0.77
    gaard
    -0.71
    cca
    -0.71
     Welsh
    -0.71
    mary
    -0.70
    POSITIVE LOGITS
     TR
    0.92
    ilateral
    0.87
    UTH
    0.79
    ibur
    0.77
    ayne
    0.76
    anche
    0.75
    aina
    0.72
    reditary
    0.71
    iton
    0.70
     contrace
    0.70
    Activations Density 0.010%

    No Known Activations