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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. 10-RES-JB
    11. 8411
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    Explanations

    mentions of physical exercise

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oho
    -0.82
    alez
    -0.73
    amn
    -0.72
    este
    -0.71
    interstitial
    -0.71
    fixed
    -0.68
    umper
    -0.67
    ocide
    -0.65
    apper
    -0.64
    wrote
    -0.64
    POSITIVE LOGITS
     regimen
    1.17
     routines
    1.13
     exerc
    1.03
     exercises
    0.95
    nas
    0.94
     instructor
    0.89
    ercise
    0.88
     workout
    0.88
     routine
    0.87
     workouts
    0.86
    Activations Density 0.060%

    No Known Activations