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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. 2-RES-JB
    6. 18314
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    Explanations

    phrases related to physical fitness

    oai_token-act-pair · gpt-3.5-turbo

    references to fitness concepts and activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hemorrh
    -0.68
     tongues
    -0.68
    ectar
    -0.66
    akedown
    -0.66
    semble
    -0.64
     Pell
    -0.64
    borgh
    -0.63
     Helpful
    -0.62
    ãĥĥãĥī
    -0.61
     gou
    -0.61
    POSITIVE LOGITS
     fitness
    1.09
     Trainer
    0.89
     Fitness
    0.85
    ability
    0.84
     mathemat
    0.80
     trainer
    0.79
     endors
    0.79
     promot
    0.77
     trainers
    0.75
     practition
    0.73
    Activations Density 0.011%

    No Known Activations