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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. 2-RES-JB
    11. 12171
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    Explanations

    nutrition-related information, specifically related to the serving size and calorie content

    oai_token-act-pair · gpt-3.5-turbo

    terms related to food servings and preparation

    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
    phas
    -0.76
    orsi
    -0.73
    lining
    -0.72
    orne
    -0.71
    issues
    -0.70
    orph
    -0.67
    braska
    -0.66
    ovi
    -0.65
    heed
    -0.65
     neurolog
    -0.64
    POSITIVE LOGITS
     Delicious
    0.98
     drinks
    0.95
     servings
    0.94
     meals
    0.91
     Meal
    0.90
    ãĥĺãĥ©
    0.88
     beverages
    0.87
     soup
    0.87
     Soup
    0.86
     cocktails
    0.85
    Activations Density 0.035%

    No Known Activations