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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. 0-RES-JB
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    Explanations

    specific terms that start with "Won" or include "quest" and indicate achievement or questioning

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Won" and other related references to victory or achievement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iceps
    -0.69
     Firearms
    -0.68
    tools
    -0.67
    iens
    -0.67
    thumbnails
    -0.66
     Brawl
    -0.65
    isco
    -0.64
    Thumbnail
    -0.64
    phis
    -0.63
     fireworks
    -0.61
    POSITIVE LOGITS
     Won
    2.16
    kson
    1.50
    tale
    1.49
    ioned
    1.39
    hung
    1.17
    orne
    1.17
     Hung
    1.04
     Ji
    1.02
    peak
    1.01
     mum
    0.99
    Activations Density 0.044%

    No Known Activations