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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. 3-RES-JB
    11. 17227
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    INDEX
    Explanations

    references to retro style or design

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "retro" and its variations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    gans
    -0.81
    gow
    -0.76
    FUL
    -0.72
    RAW
    -0.71
    íķ
    -0.70
    \\\\\\\\
    -0.69
    avanaugh
    -0.69
    UGE
    -0.68
     Marketable
    -0.68
    à¨
    -0.66
    POSITIVE LOGITS
    actively
    1.39
    active
    1.12
     retro
    1.12
    spective
    1.06
    fitted
    1.02
    fit
    0.93
    visor
    0.89
    fits
    0.87
    gradation
    0.86
    grade
    0.84
    Activations Density 0.010%

    No Known Activations