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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. 11-RES-JB
    11. 14782
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    Explanations

    specific named entities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals or entities associated with laws or legal matters

    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
     Cind
    -0.74
     Emin
    -0.69
     Siber
    -0.61
     jams
    -0.60
     ponies
    -0.56
     Noir
    -0.56
     Dane
    -0.55
     Aph
    -0.55
     lives
    -0.55
     timelines
    -0.54
    POSITIVE LOGITS
    PDATED
    1.54
    pper
    1.31
    nexpected
    1.31
    CLA
    1.29
    zbek
    1.25
    pton
    1.20
    seless
    1.13
    pperc
    1.11
    prising
    1.07
    lyss
    1.06
    Activations Density 0.028%

    No Known Activations