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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
    11. 7108
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    Explanations

    mentions related to physical health, fitness, and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    medical or health-related states and conditions

    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
    obook
    -0.80
    Gate
    -0.73
     veto
    -0.72
     DISTRICT
    -0.71
    onymous
    -0.71
    option
    -0.71
     Shared
    -0.71
     Noir
    -0.70
     Etsy
    -0.69
    ominated
    -0.68
    POSITIVE LOGITS
     stamina
    1.49
     fatig
    1.46
     muscles
    1.43
     fatigue
    1.37
     ailments
    1.35
     muscle
    1.34
     injuries
    1.33
     dehydration
    1.31
     exhaustion
    1.31
     bruises
    1.28
    Activations Density 1.101%

    No Known Activations