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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. 13252
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    Explanations

    phrases that demand a deeper understanding of the surrounding situation or environment

    oai_token-act-pair · gpt-3.5-turbo

    references to context in discussions

    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
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    Negative Logits
    vals
    -0.75
    STON
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    cé
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    itte
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    License
    -0.65
    PATH
    -0.65
    ãĥīãĥ©
    -0.64
    owship
    -0.63
    DAQ
    -0.63
    Il
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    POSITIVE LOGITS
     context
    1.06
     contexts
    0.92
     Context
    0.86
    ually
    0.80
    ĸļ
    0.77
    uality
    0.74
    ual
    0.72
     contextual
    0.71
    spection
    0.70
    raints
    0.70
    Activations Density 0.008%

    No Known Activations