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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. 11537
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    Explanations

    numerical values, such as amounts or percentages

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate various types of offerings or proposals

    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
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    Negative Logits
    STER
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    aten
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    ï¸ı
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    strap
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    eme
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    eco
    -0.61
     Ern
    -0.60
    _-
    -0.60
    js
    -0.59
    ARGET
    -0.58
    POSITIVE LOGITS
     condolences
    0.99
     congratulations
    0.89
     parting
    0.89
     unconditional
    0.88
     nonex
    0.77
     complimentary
    0.76
     alternatives
    0.74
     warranties
    0.74
     tantal
    0.73
     unres
    0.72
    Activations Density 0.170%

    No Known Activations