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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. 10-RES-JB
    11. 4772
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    Explanations

    instructions or steps in a list format

    oai_token-act-pair · gpt-3.5-turbo

    numerical values associated with time periods and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     smugglers
    -0.99
     speeding
    -0.96
     eleph
    -0.93
     pse
    -0.92
     photograp
    -0.91
     smuggling
    -0.88
     leasing
    -0.86
     diving
    -0.85
     choking
    -0.85
     satell
    -0.85
    POSITIVE LOGITS
    Example
    1.47
    Apply
    1.46
    Effect
    1.44
    Use
    1.44
    Same
    1.44
    Topic
    1.42
    Conclusion
    1.40
    Suggest
    1.38
    Requires
    1.38
    Used
    1.38
    Activations Density 0.250%

    No Known Activations