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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 21229
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    oai_token-act-pair · gpt-3.5-turbo

    keywords related to content and performance criteria

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    thouse
    -0.75
    arnaev
    -0.73
    riots
    -0.70
    enegger
    -0.67
    pired
    -0.64
    obin
    -0.62
    aily
    -0.61
    nee
    -0.60
    icon
    -0.59
    mire
    -0.59
    POSITIVE LOGITS
     etiquette
    0.86
     arrang
    0.83
    anship
    0.82
     responsiveness
    0.79
     efficiency
    0.77
     duties
    0.77
     adequ
    0.77
     parameters
    0.77
     allocations
    0.76
     specifics
    0.76
    Activations Density 0.484%

    No Known Activations