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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. 8-RES-JB
    11. 4923
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    Explanations

    references to competitive events and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific events and entities related to competitive sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dylib
    -0.84
    byn
    -0.79
    polit
    -0.78
    orian
    -0.77
    dyl
    -0.74
    oner
    -0.74
    ctr
    -0.72
     Correction
    -0.71
    tumblr
    -0.70
    yip
    -0.70
    POSITIVE LOGITS
     Playoffs
    0.87
     playoffs
    0.85
     Americas
    0.84
     Championship
    0.84
    League
    0.82
     XIV
    0.81
     Champions
    0.78
     Championships
    0.74
     leagues
    0.74
     preseason
    0.73
    Activations Density 0.164%

    No Known Activations