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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
    11. 9115
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    oai_token-act-pair · gpt-3.5-turbo

    words related to training or education

    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
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    Negative Logits
    FACE
    -0.72
     Meier
    -0.65
    hazard
    -0.64
    ogene
    -0.63
    ãĥİ
    -0.61
     Proposition
    -0.61
    oter
    -0.59
     goodbye
    -0.59
    perty
    -0.58
    pler
    -0.58
    POSITIVE LOGITS
     instructors
    0.86
     trained
    0.75
    arnaev
    0.73
    inois
    0.73
    anamo
    0.72
     certific
    0.71
     professionals
    0.70
    romy
    0.70
    trained
    0.68
    UFC
    0.67
    Activations Density 0.015%

    No Known Activations