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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. 1-RES-JB
    11. 16779
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    Explanations

    mentions related to sports leagues

    oai_token-act-pair · gpt-3.5-turbo

    the word "league" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imura
    -0.85
    dos
    -0.81
     Liberties
    -0.73
    EStream
    -0.73
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.70
    irin
    -0.68
    imentary
    -0.68
    «
    -0.66
    being
    -0.66
     Phone
    -0.65
    POSITIVE LOGITS
     commissioner
    0.86
     league
    0.85
     commissioners
    0.75
     strugg
    0.74
     leagues
    0.72
     Scouting
    0.70
     chang
    0.68
    League
    0.68
     scouts
    0.67
     hall
    0.67
    Activations Density 0.014%

    No Known Activations