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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 8914
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    Explanations

    information related to different sports leagues and conferences

    oai_token-act-pair · gpt-3.5-turbo

    references to different NFL divisions and conferences

    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
    terday
    -0.80
    argon
    -0.76
    metic
    -0.76
    polit
    -0.74
    cules
    -0.72
    ted
    -0.72
    nown
    -0.72
    ð
    -0.71
    ku
    -0.71
    ynt
    -0.70
    POSITIVE LOGITS
     standings
    1.28
     Finals
    1.26
     Playoffs
    1.20
     playoffs
    1.14
     Championship
    1.13
     finals
    1.12
     semifinals
    1.11
     playoff
    1.10
     cellar
    1.04
     Playoff
    1.03
    Activations Density 0.055%

    No Known Activations