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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. 9-RES-JB
    11. 22472
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    Explanations

    references to various kinds of work or occupations

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of work or contributions made by individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ukrain
    -0.91
     champagne
    -0.70
    wcs
    -0.70
     hurry
    -0.66
    ylon
    -0.65
     snap
    -0.65
     Bubble
    -0.63
     kindergarten
    -0.59
    OUNT
    -0.59
     Pitch
    -0.59
    POSITIVE LOGITS
     ethic
    1.47
    flows
    1.40
    aday
    1.26
    manship
    1.23
    station
    1.20
    horse
    1.15
    bench
    1.14
    forces
    1.04
    papers
    0.93
    paces
    0.91
    Activations Density 0.061%

    No Known Activations