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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. 5757
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    INDEX
    Explanations

    food-related instructions

    oai_token-act-pair · gpt-3.5-turbo

    cooking instructions and descriptions related to food preparation

    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
     Paran
    -0.73
     Nanto
    -0.73
     Osw
    -0.72
     Cance
    -0.67
     Transgender
    -0.66
    roman
    -0.66
    igraph
    -0.65
     successors
    -0.64
    href
    -0.63
     referral
    -0.62
    POSITIVE LOGITS
     crispy
    1.25
     caramel
    1.17
     creamy
    1.09
     moist
    1.08
     crisp
    1.08
     tender
    1.07
     brown
    1.07
     cooked
    1.01
     evenly
    1.01
     golden
    0.99
    Activations Density 0.114%

    No Known Activations