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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. 4776
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    INDEX
    Explanations

    mentions of support for a specific organization or cause

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the word "that" in various contexts

    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
     Doctrine
    -0.67
     Corps
    -0.62
     Ruk
    -0.62
     Hallow
    -0.61
     Sad
    -0.61
    NES
    -0.60
     Anyway
    -0.59
    raz
    -0.59
     Planning
    -0.59
    riot
    -0.58
    POSITIVE LOGITS
     arose
    1.01
     preceded
    0.93
     comprise
    0.91
     occur
    0.89
     accumulate
    0.89
     weren
    0.88
     arise
    0.88
     resulted
    0.88
     circulate
    0.86
     compose
    0.86
    Activations Density 0.191%

    No Known Activations