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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. 10-RES-JB
    11. 12279
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    Explanations

    measurements and quantities related to food and drink

    oai_token-act-pair · gpt-3.5-turbo

    quantitative measures related to beverages and water consumption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Religion
    -0.76
     Retirement
    -0.75
     homelessness
    -0.73
     retirement
    -0.73
     retire
    -0.72
     modernization
    -0.69
     careers
    -0.69
     migration
    -0.68
     architecture
    -0.68
    abilities
    -0.67
    POSITIVE LOGITS
     ounces
    1.69
     ounce
    1.66
     grams
    1.58
     gallons
    1.56
     litres
    1.53
     gallon
    1.49
     oz
    1.43
     tablespoons
    1.39
     teaspoons
    1.37
     pounds
    1.36
    Activations Density 0.233%

    No Known Activations