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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. 7-RES-JB
    11. 4418
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    Explanations

    words related to competition and business rivalry

    oai_token-act-pair · gpt-3.5-turbo

    references to competitors in a business context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oÄŁ
    -0.74
    uthor
    -0.72
    lich
    -0.71
    elin
    -0.71
    ahan
    -0.67
    erd
    -0.67
    jah
    -0.66
    itory
    -0.66
    chan
    -0.65
    erest
    -0.65
    POSITIVE LOGITS
     competitor
    1.00
     competitors
    0.90
     Flavoring
    0.86
     vying
    0.80
     competing
    0.77
     Cumm
    0.77
     challengers
    0.76
     contender
    0.73
     rivals
    0.72
     unbeat
    0.72
    Activations Density 0.084%

    No Known Activations