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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. 11-RES-JB
    11. 423
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    Explanations

    phrases related to sports practice and training

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to training and practice sessions in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nobel
    -0.76
     blasphemy
    -0.75
    ailable
    -0.75
     Decay
    -0.75
    DonaldTrump
    -0.75
     ..........
    -0.74
     irony
    -0.73
     tragically
    -0.73
     apost
    -0.72
    wikipedia
    -0.71
    POSITIVE LOGITS
     drills
    1.77
     scrimmage
    1.74
     workouts
    1.67
     scrim
    1.63
     workout
    1.50
     training
    1.42
     conditioning
    1.42
     practice
    1.39
     preseason
    1.39
    Training
    1.39
    Activations Density 0.498%

    No Known Activations