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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. 2997
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    INDEX
    Explanations

    mentions of different wars or war-related terms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "wars"

    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
    ATURE
    -0.65
    AUT
    -0.63
    STER
    -0.63
    SOURCE
    -0.63
    YL
    -0.60
    gow
    -0.60
    Dialogue
    -0.58
     Accuracy
    -0.57
    Asset
    -0.57
    nosis
    -0.57
    POSITIVE LOGITS
    hip
    1.33
    hips
    1.30
    pace
    1.08
    poons
    0.95
    uits
    0.94
    hops
    0.94
    pread
    0.94
    cale
    0.92
    mith
    0.87
    pite
    0.85
    Activations Density 0.029%

    No Known Activations