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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    mentions of the name "Lin" at different intensities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Lin" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seym
    -0.79
    ij士
    -0.78
    sburgh
    -0.77
    raints
    -0.73
    attled
    -0.71
    ATTLE
    -0.70
    lain
    -0.69
    raltar
    -0.68
    FAULT
    -0.66
     JUSTICE
    -0.66
    POSITIVE LOGITS
    eman
    0.95
    ergy
    0.90
    emate
    0.90
    Lin
    0.87
    ergic
    0.87
     Lin
    0.87
    iets
    0.84
    otype
    0.84
    wood
    0.82
    woods
    0.80
    Activations Density 0.006%

    No Known Activations