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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. 14345
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    Explanations

    historical names with birth and death dates recorded in a formal style

    oai_token-act-pair · gpt-3.5-turbo

    parentheses in the text

    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
     entitle
    -0.77
     lull
    -0.76
     automatically
    -0.74
     parity
    -0.73
     equival
    -0.73
     everyday
    -0.73
     aver
    -0.72
     habitable
    -0.71
     treat
    -0.71
     normalized
    -0.71
    POSITIVE LOGITS
    pictured
    1.57
    aka
    1.37
    who
    1.33
    formerly
    1.32
    whose
    1.30
    pron
    1.20
    sic
    1.15
    above
    1.11
    left
    1.11
    nee
    1.06
    Activations Density 0.104%

    No Known Activations