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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. 12976
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    INDEX
    Explanations

    structures where the phrase "at least" is used

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a minimum or baseline threshold

    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
    iday
    -0.78
    icides
    -0.77
     FANT
    -0.65
    rift
    -0.61
    ses
    -0.61
    kefeller
    -0.60
    ggles
    -0.58
    icide
    -0.58
    ãĤ¿
    -0.57
    iard
    -0.57
    POSITIVE LOGITS
     partly
    0.76
     partially
    0.74
     temporarily
    0.72
    foundland
    0.70
     theoretically
    0.69
    fair
    0.67
     superf
    0.66
     anecd
    0.65
    nob
    0.65
    onest
    0.64
    Activations Density 0.026%

    No Known Activations