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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
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    Explanations

    mentions of or related to referees 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 @ 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
    oppers
    -0.75
    76561
    -0.72
    opping
    -0.64
    yles
    -0.64
     Passage
    -0.63
     Apostles
    -0.62
    windows
    -0.61
    eworld
    -0.60
    ctica
    -0.59
    ESE
    -0.59
    POSITIVE LOGITS
     referee
    1.32
     referees
    1.16
    eree
    1.10
    PDATE
    0.86
    ãĥ¼ãĥĨãĤ£
    0.75
     announcer
    0.74
     examiner
    0.71
    ãĤ©
    0.71
     arbit
    0.68
    pedia
    0.67
    Activations Density 0.016%

    No Known Activations