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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. 9-RES-JB
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    Explanations

    mentions of physical training and rehabilitation activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of training and rehabilitation activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dies
    -0.87
     tragically
    -0.77
     bankrupt
    -0.77
     empires
    -0.77
     survives
    -0.77
     heirs
    -0.76
     tragic
    -0.73
     apost
    -0.73
     died
    -0.73
     catast
    -0.72
    POSITIVE LOGITS
     workouts
    1.41
     scrimmage
    1.37
     drills
    1.34
    Coach
    1.33
     workout
    1.30
    Training
    1.28
     preseason
    1.28
     offseason
    1.25
     coaches
    1.24
     scrim
    1.24
    Activations Density 0.774%

    No Known Activations