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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. 0-RES-JB
    11. 22406
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    Explanations

    references to sporting events specifically describing the reaching of the final stage of a competition or tournament

    oai_token-act-pair · gpt-3.5-turbo

    references to championship events or finals in sports

    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
     doll
    -0.65
    ORK
    -0.64
     controls
    -0.63
     borrowing
    -0.61
    let
    -0.61
    ãĤ´
    -0.61
     hundreds
    -0.61
     coff
    -0.61
     nurs
    -0.59
     borrowed
    -0.58
    POSITIVE LOGITS
     Finals
    3.48
     Playoffs
    1.73
     Cavs
    1.43
     Playoff
    1.32
     playoffs
    1.22
     Championships
    1.20
     finals
    1.19
     Final
    1.19
     Warriors
    1.19
     Cavaliers
    1.16
    Activations Density 0.011%

    No Known Activations