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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. 8-RES-JB
    11. 20128
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    Explanations

    mentions of giving a sense of scale by describing physical attributes

    oai_token-act-pair · gpt-3.5-turbo

    references to leadership roles or titles within organizations

    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
     wedge
    -0.72
     fortun
    -0.68
     pressures
    -0.64
     pyramid
    -0.63
     phony
    -0.63
     pesky
    -0.63
     deterrent
    -0.62
    ModLoader
    -0.62
     spir
    -0.62
     contraception
    -0.62
    POSITIVE LOGITS
    ï¸ı
    1.21
    lished
    0.94
    iversary
    0.89
    tre
    0.85
    stellar
    0.84
    ï¸
    0.81
    lishes
    0.81
    ufact
    0.80
    heimer
    0.79
    audi
    0.79
    Activations Density 0.385%

    No Known Activations