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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. 13086
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    INDEX
    Explanations

    comparisons highlighting a higher degree of a quality or action

    oai_token-act-pair · gpt-3.5-turbo

    comparisons that express a degree of superiority or excessiveness

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    20439
    -0.83
     largeDownload
    -0.80
    NEY
    -0.68
    Winged
    -0.67
     Direction
    -0.64
     Nanto
    -0.63
     Peaks
    -0.62
    OSP
    -0.60
    DH
    -0.58
    CCC
    -0.58
    POSITIVE LOGITS
    whelming
    0.79
     tripled
    0.78
     doubled
    0.74
     doubling
    0.70
    represented
    0.65
    izoph
    0.64
     adequately
    0.64
    atever
    0.64
    atos
    0.63
     adequate
    0.63
    Activations Density 0.058%

    No Known Activations