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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. 12-RES-JB
    11. 2887
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    Explanations

    information related to sports matches, including teams, dates, and networks

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    structured data related to sports events and matchups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     seiz
    -0.81
    jriwal
    -0.79
    earances
    -0.78
    ertodd
    -0.78
    atonin
    -0.76
    icter
    -0.76
    galitarian
    -0.74
    ascript
    -0.74
     teasp
    -0.73
     glim
    -0.73
    POSITIVE LOGITS
     TCU
    1.38
     Clemson
    1.37
     LSU
    1.36
     Notre
    1.35
     Baylor
    1.32
     Vanderbilt
    1.30
     UCLA
    1.29
     Auburn
    1.27
     Louisville
    1.27
     Boise
    1.24
    Activations Density 0.151%

    No Known Activations