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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 4592
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    Explanations

    numeric ranges or spans

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of ranges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Congratulations
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     Tid
    -0.65
    Untitled
    -0.64
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     ARTICLE
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    POSITIVE LOGITS
     range
    4.00
     ranges
    2.96
     Range
    2.67
    range
    2.59
    Range
    2.02
     ranged
    1.91
     variety
    1.70
     spectrum
    1.52
     ranging
    1.46
    ranged
    1.28
    Activations Density 0.014%

    No Known Activations