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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. 5349
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    Explanations

    phrases related to alternative methods or ways of doing things

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate methods or ways of doing things

    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
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    Negative Logits
    isite
    -0.64
    sites
    -0.61
     Bugs
    -0.60
    eryl
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     Videos
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    ALSE
    -0.59
    pots
    -0.58
    features
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    hunter
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    POSITIVE LOGITS
     communicating
    1.31
     coping
    1.23
     dealing
    1.20
     expressing
    1.19
     interacting
    1.12
     preserving
    1.12
     avoiding
    1.12
     achieving
    1.11
     interpreting
    1.10
     combating
    1.10
    Activations Density 0.049%

    No Known Activations