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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

    references to various types of medals

    oai_token-act-pair · gpt-3.5-turbo

    references to medals, particularly in the context of achievements in sports

    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
    Fi
    -0.73
    wise
    -0.65
     DeV
    -0.65
     Anon
    -0.64
    isting
    -0.63
    nos
    -0.63
     WordPress
    -0.63
    Anonymous
    -0.63
     Static
    -0.62
     drives
    -0.61
    POSITIVE LOGITS
     medal
    3.69
     medals
    3.31
     Medal
    2.68
     Medals
    2.42
     trophy
    1.41
     badge
    1.32
     bronze
    1.26
     trophies
    1.25
     badges
    1.24
     prize
    1.21
    Activations Density 0.010%

    No Known Activations