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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. 6-RES-JB
    6. 10374
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    INDEX
    Explanations

    mentions of public schools, colleges, and education-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to public education institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Islanders
    -0.61
    lust
    -0.60
    wise
    -0.59
    owder
    -0.59
    sie
    -0.58
    ties
    -0.57
     Protocol
    -0.56
    pad
    -0.56
     Plane
    -0.56
     rash
    -0.56
    POSITIVE LOGITS
    chool
    1.39
    hips
    1.06
    paces
    1.04
    afety
    1.03
    mith
    1.00
    hops
    0.98
    poons
    0.94
    hare
    0.91
    ourcing
    0.91
    pring
    0.90
    Activations Density 0.143%

    No Known Activations