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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. 0-RES-JB
    11. 13697
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    Explanations

    words related to diets or food intake recommendations

    oai_token-act-pair · gpt-3.5-turbo

    references to dietary practices and nutrition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bolt
    -0.72
    angible
    -0.70
     Briggs
    -0.67
    Gate
    -0.66
     Spectre
    -0.65
     Quinn
    -0.65
     Clarke
    -0.64
     Dillon
    -0.63
     Avalon
    -0.63
     Torn
    -0.63
    POSITIVE LOGITS
     diet
    3.74
     diets
    2.93
     Diet
    2.48
     dietary
    2.02
     nutrition
    1.91
     Dietary
    1.59
     nutritional
    1.57
    nutrition
    1.51
     lifestyle
    1.49
     caloric
    1.46
    Activations Density 0.019%

    No Known Activations