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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. 3-RES-JB
    11. 22666
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    Explanations

    phrases related to physical exercise, specifically focused on squatting techniques

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to squatting techniques and exercises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     UNESCO
    -0.74
     Bour
    -0.74
     Prohibition
    -0.74
     Pandora
    -0.73
     Crimes
    -0.72
     Aven
    -0.71
     Beware
    -0.71
     roadside
    -0.70
    bringer
    -0.68
     Yel
    -0.66
    POSITIVE LOGITS
     workout
    1.16
     workouts
    1.11
     squats
    1.08
    ercise
    1.05
     physique
    0.98
    Training
    0.97
     exercises
    0.96
     athlet
    0.95
     athletes
    0.95
     weights
    0.92
    Activations Density 0.238%

    No Known Activations