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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. 7-RES-JB
    11. 179
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    Explanations

    phrases related to sports competitions, specifically referring to stages, draws, groups, and qualifications

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sports team performance in group stages of competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imaru
    -0.87
    natureconservancy
    -0.79
    enegger
    -0.76
    photo
    -0.76
    xon
    -0.76
    oji
    -0.75
    argon
    -0.74
    tumblr
    -0.74
    wik
    -0.74
    Attorney
    -0.72
    POSITIVE LOGITS
     semifinals
    1.08
     playoffs
    1.07
     relegation
    1.07
     finals
    1.05
     playoff
    1.04
     unbeaten
    0.97
     qualifier
    0.94
     opener
    0.92
     qualifiers
    0.91
     berth
    0.90
    Activations Density 0.140%

    No Known Activations