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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. 4-RES-JB
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals or entities

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

    No Comments

    Negative Logits
    ĸļ
    -0.73
     kindred
    -0.67
     precursor
    -0.61
     favourable
    -0.59
     swollen
    -0.57
     carbohyd
    -0.56
     Daesh
    -0.56
     pregn
    -0.55
    dfx
    -0.55
     unbeat
    -0.55
    POSITIVE LOGITS
    ansky
    0.83
     Alley
    0.80
    stein
    0.80
    mann
    0.79
    sey
    0.79
    ius
    0.77
    berger
    0.77
    heimer
    0.77
    meier
    0.76
    zynski
    0.76
    Activations Density 0.409%

    No Known Activations