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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    references to the word "fur"

    oai_token-act-pair · gpt-3.5-turbo

    references to fur, specifically related to animals and the fur trade

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Meier
    -0.70
    tical
    -0.68
    ysis
    -0.67
     Defenders
    -0.66
     Sins
    -0.66
    course
    -0.64
     Hyde
    -0.64
    oples
    -0.64
     Dish
    -0.63
     preached
    -0.62
    POSITIVE LOGITS
    fur
    1.19
     fur
    1.12
    thur
    1.12
    rier
    0.93
    isode
    0.92
    rows
    0.90
    hair
    0.88
    uit
    0.85
     Fur
    0.84
    geons
    0.83
    Activations Density 0.010%

    No Known Activations