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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. 6-RES-JB
    11. 9780
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    Explanations

    sports-related terminology, achievements, and statistics

    oai_token-act-pair · gpt-3.5-turbo

    award nominations and significant sports achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olor
    -0.78
    abal
    -0.76
    actionDate
    -0.74
    hao
    -0.70
    enez
    -0.69
    ça
    -0.68
    rav
    -0.68
    amar
    -0.67
    Plan
    -0.65
    plan
    -0.64
    POSITIVE LOGITS
     consecutive
    0.77
     honors
    0.76
     accomplishment
    0.73
     rankings
    0.72
     category
    0.71
     Tycoon
    0.69
    minimum
    0.67
     Rankings
    0.67
    adjusted
    0.67
     achievement
    0.67
    Activations Density 0.422%

    No Known Activations