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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. 10591
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    Explanations

    words related to technological commands and instructions

    oai_token-act-pair · gpt-3.5-turbo

    words related to language and linguistics

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    Negative Logits
     Immunity
    -0.80
     Healer
    -0.69
     Decoder
    -0.69
     KP
    -0.69
     Administ
    -0.66
     Hayden
    -0.66
    Footnote
    -0.65
     Balanced
    -0.65
     Beir
    -0.65
     Mellon
    -0.65
    POSITIVE LOGITS
    moil
    0.93
    secut
    0.90
    rill
    0.90
    ularity
    0.88
    ternity
    0.83
    estial
    0.82
    rowing
    0.82
    verage
    0.82
    mond
    0.82
    reating
    0.81
    Activations Density 0.167%

    No Known Activations