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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    references to the football team "Raiders."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Raiders and related terms in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ng
    -0.77
    é
    -0.74
     hem
    -0.72
    onse
    -0.71
     gram
    -0.70
     sv
    -0.67
     EUR
    -0.66
    °
    -0.66
     Thomson
    -0.65
    Ì
    -0.65
    POSITIVE LOGITS
     Raiders
    4.14
     Raider
    2.77
    Raid
    2.32
     Chargers
    1.87
     Jaguars
    1.79
     Cowboys
    1.65
     Broncos
    1.63
     Titans
    1.62
     Oilers
    1.59
     Dolphins
    1.59
    Activations Density 0.018%

    No Known Activations