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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 4769
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    INDEX
    Explanations

    words related to physical fitness and exercise

    oai_token-act-pair · gpt-3.5-turbo

    references to fitness and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orah
    -0.75
    unci
    -0.74
    akedown
    -0.74
     Noir
    -0.72
    enic
    -0.71
    agall
    -0.68
    affer
    -0.67
    pard
    -0.67
    erella
    -0.67
     Rockefeller
    -0.66
    POSITIVE LOGITS
     regimen
    0.96
     fitness
    0.96
     trainers
    0.94
     trainer
    0.93
     routines
    0.88
     credentials
    0.85
     Trainer
    0.83
     Fitness
    0.80
     hygiene
    0.80
     workouts
    0.79
    Activations Density 0.040%

    No Known Activations