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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. 3-RES-JB
    11. 17155
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    INDEX
    Explanations

    references to the American Kennel Club or related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Kennedy" and related terms

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     nerv
    -0.73
     NCT
    -0.67
     Niger
    -0.66
    senal
    -0.64
     Uzbek
    -0.64
     Boko
    -0.63
     fateful
    -0.63
     Bulg
    -0.62
    DIT
    -0.62
     prevailing
    -0.61
    POSITIVE LOGITS
    edy
    1.12
    ety
    1.11
    ett
    1.09
    Kenn
    1.00
    eteen
    0.97
    esy
    0.94
    iken
    0.92
    elly
    0.90
    ives
    0.89
    etics
    0.89
    Activations Density 0.006%

    No Known Activations