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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    phrases related to referees and officiating in sports

    oai_token-act-pair · gpt-3.5-turbo

    references to referees in the context of sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.82
    oppers
    -0.74
    yles
    -0.72
     Horses
    -0.65
     Apostles
    -0.63
    ocobo
    -0.63
    Sea
    -0.62
    adena
    -0.61
    ths
    -0.61
     behalf
    -0.60
    POSITIVE LOGITS
     referee
    1.07
    eree
    1.05
     referees
    1.04
    esses
    0.73
     examiner
    0.73
    PDATE
    0.70
    ially
    0.69
     announcer
    0.68
     arbit
    0.68
    iquette
    0.67
    Activations Density 0.022%

    No Known Activations