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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. 7-RES-JB
    11. 21627
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    INDEX
    Explanations

    mentioning of company names

    oai_token-act-pair · gpt-3.5-turbo

    references to companies and corporate entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    autions
    -0.62
     redes
    -0.60
     (%
    -0.59
     orally
    -0.58
     overwrite
    -0.58
     reversible
    -0.58
    ipeg
    -0.56
     cautiously
    -0.56
    IGHTS
    -0.55
     disposition
    -0.55
    POSITIVE LOGITS
    etc
    1.11
     etc
    1.10
    whatever
    0.85
    soDeliveryDate
    0.73
    ogun
    0.68
     Sty
    0.65
     Tel
    0.63
    ammy
    0.62
     Nap
    0.62
     Flavoring
    0.62
    Activations Density 0.313%

    No Known Activations