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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. 9291
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    Explanations

    words related to laboratory equipment and supplies

    oai_token-act-pair · gpt-3.5-turbo

    quantities and measurements related to liquid or 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
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    No Comments

    Negative Logits
     vulnerabilities
    -0.77
    ARCH
    -0.71
     forestry
    -0.68
    avid
    -0.68
     architecture
    -0.67
    reon
    -0.66
    arch
    -0.65
     Architect
    -0.65
    develop
    -0.64
    UTC
    -0.64
    POSITIVE LOGITS
     bottles
    1.72
     bottle
    1.63
     cans
    1.48
     gallon
    1.45
     refill
    1.45
     Bottle
    1.40
     flask
    1.39
     pint
    1.36
     drink
    1.36
     beverage
    1.35
    Activations Density 0.357%

    No Known Activations