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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. 11-RES-JB
    6. 9647
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    INDEX
    Explanations

    mentions of drag-related concepts or actions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "drag" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vironment
    -0.70
     AVG
    -0.67
     Kubrick
    -0.66
     Blueprint
    -0.64
    theless
    -0.64
    ership
    -0.60
    zbek
    -0.59
    places
    -0.58
    leck
    -0.57
    etheless
    -0.56
    POSITIVE LOGITS
    oon
    1.18
    ging
    1.07
     queens
    1.04
    ged
    0.99
    net
    0.97
    strip
    0.94
    gin
    0.91
    gy
    0.86
    gery
    0.85
    gers
    0.84
    Activations Density 0.063%

    No Known Activations