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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. 11578
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    INDEX
    Explanations

    phrases related to sports and player positions in a team

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, especially commas, in the text

    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
    Not in Any Lists

    No Comments

    Negative Logits
    iots
    -0.75
    eva
    -0.74
    è¦ļéĨĴ
    -0.74
    eton
    -0.73
     +---
    -0.69
     Feminist
    -0.69
    asters
    -0.69
    izen
    -0.69
    aste
    -0.68
    igraph
    -0.67
    POSITIVE LOGITS
     averaging
    1.01
     teammate
    0.92
     coached
    0.90
     rookie
    0.88
     albeit
    0.88
     Rookie
    0.87
     waivers
    0.87
     bullpen
    0.86
     but
    0.85
     teammates
    0.84
    Activations Density 0.149%

    No Known Activations