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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. 5-RES-JB
    6. 21230
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    INDEX
    Explanations

    phrases indicating negation or opposition

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and indicators of non-affirmative or negative statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zel
    -0.74
    reet
    -0.73
    haul
    -0.72
    ilated
    -0.66
    amiliar
    -0.65
    osite
    -0.64
    eworks
    -0.64
     nuts
    -0.60
     redes
    -0.60
    estinal
    -0.60
    POSITIVE LOGITS
     nor
    1.87
     anymore
    1.51
    yet
    1.37
     Nor
    1.11
    nor
    1.10
    unless
    0.96
     Instead
    0.96
     unless
    0.94
     Nonetheless
    0.90
     whatsoever
    0.87
    Activations Density 0.940%

    No Known Activations