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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. 9-RES-JB
    11. 13095
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    Explanations

    phrases related to strong opinions or extreme emotions

    oai_token-act-pair · gpt-3.5-turbo

    references to measurable quantities and performance outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ARCH
    -0.76
    ãĤ³
    -0.75
    ongevity
    -0.73
    EGA
    -0.65
    onnaissance
    -0.63
    ocon
    -0.63
    STRUCT
    -0.61
    udos
    -0.60
    ç¥ŀ
    -0.57
    itional
    -0.57
    POSITIVE LOGITS
    .;
    0.74
     ie
    0.74
    .",
    0.73
    >,
    0.72
     whilst
    0.72
     alike
    0.69
    !.
    0.68
     ('
    0.67
    _.
    0.66
     whereas
    0.65
    Activations Density 0.724%

    No Known Activations