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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. 17418
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    Explanations

    phrases related to sports teams and competitions

    oai_token-act-pair · gpt-3.5-turbo

    references to youth sports teams and competitions

    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
    âĹ¼
    -0.81
    pmwiki
    -0.75
    resist
    -0.68
    hedon
    -0.67
    closure
    -0.65
     aver
    -0.64
    eus
    -0.63
    othe
    -0.63
     looting
    -0.62
    NetMessage
    -0.62
    POSITIVE LOGITS
     squad
    1.29
     team
    1.20
     Soccer
    1.17
     soccer
    1.16
     squads
    1.14
     academy
    1.10
     rugby
    1.06
     football
    1.03
     footballer
    1.02
     Football
    1.02
    Activations Density 0.174%

    No Known Activations