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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. 7251
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    INDEX
    Explanations

    dates and chronological events

    oai_token-act-pair · gpt-3.5-turbo

    key elements related to events, dates, and individuals involved in narratives

    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
    inventoryQuantity
    -0.80
     stabilization
    -0.80
     directional
    -0.75
    tnc
    -0.75
     ballpark
    -0.73
     prioritize
    -0.72
    wcs
    -0.71
     optimization
    -0.70
     navigation
    -0.69
    iets
    -0.69
    POSITIVE LOGITS
     alleged
    1.22
     paed
    1.21
    Prosecut
    1.20
     offences
    1.18
     blackmail
    1.17
     prosecution
    1.17
     inquest
    1.15
     allegations
    1.15
    Prosecutors
    1.15
     confessions
    1.13
    Activations Density 1.003%

    No Known Activations