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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. 12-RES-JB
    11. 3832
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    Explanations

    information related to physical activities and exercises, specifically in terms of motivation, effects on different age groups, and societal views on physical appearance and fitness

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    terms related to physical health and fitness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    ungle
    -0.71
    plin
    -0.70
    olk
    -0.69
    ilts
    -0.69
    later
    -0.67
    atari
    -0.67
    stellar
    -0.66
    gaard
    -0.66
    Cod
    -0.65
    ango
    -0.65
    POSITIVE LOGITS
    ity
    1.05
     impossibility
    1.00
     manifestation
    1.00
     altercation
    0.99
     ailments
    0.93
     therapist
    0.90
     manifestations
    0.89
     therapists
    0.88
     attractiveness
    0.88
     fitness
    0.86
    Activations Density 0.050%

    No Known Activations