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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 8888
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    INDEX
    Explanations

    cooking instructions and recipes

    oai_token-act-pair · gpt-3.5-turbo

    instructions related to cooking and preparation steps

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    女
    -0.74
    ticket
    -0.72
    ById
    -0.69
    isphere
    -0.68
     vest
    -0.66
    claw
    -0.66
     Cele
    -0.65
     emblem
    -0.64
     ticket
    -0.64
    dfx
    -0.64
    POSITIVE LOGITS
     cooled
    1.15
     pH
    1.12
     fermentation
    1.11
     boiling
    1.10
     oven
    1.08
     chilled
    1.07
     soak
    1.05
     Temperature
    1.04
     yeast
    1.03
     temperatures
    1.01
    Activations Density 0.447%

    No Known Activations