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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. 4-RES-JB
    11. 93
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    mentions of regulations and their implications in various contexts

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

    No Comments

    Negative Logits
    minster
    -0.90
    ience
    -0.82
    joy
    -0.77
     Neh
    -0.72
    ãĥ¤
    -0.70
    strap
    -0.70
    hof
    -0.70
    swick
    -0.69
    tre
    -0.67
    lihood
    -0.67
    POSITIVE LOGITS
     governing
    1.17
     promulg
    1.05
     imposed
    1.03
     permitting
    1.01
     enforcement
    0.96
     regulating
    0.95
     regulations
    0.92
     enforced
    0.90
     filings
    0.89
     prescribed
    0.86
    Activations Density 0.018%

    No Known Activations