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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 22182
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •contextual features
    Fires on the second token or later of proper nouns to complete them

    No Comments

    Negative Logits
    enegger
    -0.62
    SPONSORED
    -0.60
     helicop
    -0.57
     destro
    -0.57
     compe
    -0.57
     surv
    -0.56
     sugg
    -0.56
     disg
    -0.55
     agre
    -0.55
     nodd
    -0.54
    POSITIVE LOGITS
    Å«
    0.67
     Profile
    0.65
    omon
    0.57
     Shin
    0.56
     Brewing
    0.56
    erville
    0.53
    Äģ
    0.52
    asma
    0.49
    anta
    0.48
    aj
    0.48
    Activations Density 0.383%

    No Known Activations