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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. 6-RES-JB
    11. 679
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    Explanations

    proper nouns related to various topics, including TV shows, companies, individuals, and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific characters, names, or brands in entertainment and sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     turf
    -0.62
    externalActionCode
    -0.60
     pecul
    -0.60
    tnc
    -0.60
     defect
    -0.58
    anguages
    -0.57
    idious
    -0.56
     IST
    -0.56
    ussian
    -0.55
    ALSE
    -0.55
    POSITIVE LOGITS
    aceutical
    0.61
     Foundation
    0.60
     Stard
    0.59
     Sovereign
    0.55
     Reno
    0.55
    lez
    0.54
     Melee
    0.54
     Jr
    0.54
     Idea
    0.53
    ij士
    0.52
    Activations Density 0.524%

    No Known Activations