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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. 11-RES-JB
    11. 6240
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    INDEX
    Explanations

    phrases related to food and beverages

    oai_token-act-pair · gpt-3.5-turbo

    references to food and daily necessities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
     Ic
    -0.70
    arna
    -0.69
    thro
    -0.68
     Hacker
    -0.67
     Penguin
    -0.66
     Charter
    -0.66
    utenberg
    -0.65
    aterasu
    -0.64
     Cosponsors
    -0.64
    sth
    -0.64
    POSITIVE LOGITS
     drink
    1.54
     beverages
    1.49
     drinks
    1.38
     beverage
    1.34
     Drink
    1.23
     shelter
    1.07
     clothing
    1.07
     wine
    1.07
     thirsty
    1.04
     medicine
    1.03
    Activations Density 0.091%

    No Known Activations