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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. 17056
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    Explanations

    keywords related to classification or categorization

    oai_token-act-pair · gpt-3.5-turbo

    terms related to classification systems and designations

    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
    gm
    -0.74
    usc
    -0.73
    vas
    -0.73
    nuts
    -0.72
    otrop
    -0.71
    sel
    -0.67
    ocrates
    -0.66
    plug
    -0.65
    ny
    -0.64
    roll
    -0.64
    POSITIVE LOGITS
    DragonMagazine
    0.89
    aution
    0.86
    anguage
    0.84
     criteria
    0.79
    wana
    0.78
    eering
    0.77
     classification
    0.76
     Classification
    0.76
    REDACTED
    0.75
    inctions
    0.74
    Activations Density 0.023%

    No Known Activations