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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. 8-RES-JB
    11. 15189
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    Explanations

    phrases related to sports matches and game outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sports competitions and their outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Wiki
    -0.83
    catentry
    -0.75
     unemploy
    -0.73
    Flickr
    -0.71
    reprene
    -0.70
    âĹ¼
    -0.70
    onym
    -0.69
     vocational
    -0.68
     researching
    -0.67
     FOIA
    -0.67
    POSITIVE LOGITS
     scoreboard
    1.07
     halftime
    1.06
     victory
    1.02
     Stadium
    1.01
     rematch
    0.94
     vict
    0.93
     defeat
    0.91
     playoff
    0.91
     Coliseum
    0.88
     score
    0.87
    Activations Density 0.885%

    No Known Activations