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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. 14444
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    Explanations

    proper nouns and names of characters or places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and unique identifiers

    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
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    Negative Logits
    UU
    -0.63
     Azerbai
    -0.62
    UC
    -0.62
     mats
    -0.60
     embassies
    -0.59
     Grac
    -0.55
     Ames
    -0.54
     cert
    -0.54
     semen
    -0.54
    interstitial
    -0.54
    POSITIVE LOGITS
    lace
    0.78
    perture
    0.76
    atre
    0.69
    Fan
    0.67
    ussion
    0.66
    itech
    0.66
    wick
    0.65
    Versions
    0.65
    steamapps
    0.65
    ilyn
    0.64
    Activations Density 0.517%

    No Known Activations