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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. 2-RES-JB
    11. 9470
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    Explanations

    words related to sports and competitions

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams and coaching

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Feminist
    -0.75
     NGOs
    -0.67
     ®
    -0.65
    bara
    -0.64
    enegger
    -0.62
     Ibid
    -0.62
     Femin
    -0.62
    TeX
    -0.61
    âĵĺ
    -0.57
     Delete
    -0.57
    POSITIVE LOGITS
     preseason
    1.08
     rookie
    1.01
     postseason
    1.01
     Rookie
    1.01
     halftime
    1.01
     teammate
    1.00
     playoff
    0.99
     offseason
    0.97
     matchup
    0.97
    ESPN
    0.96
    Activations Density 3.300%

    No Known Activations