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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. 8-RES-JB
    11. 12362
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and places

    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
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    Negative Logits
     GST
    -0.64
    Downloadha
    -0.63
    omnia
    -0.63
    warm
    -0.62
     CBI
    -0.60
     Dhabi
    -0.60
     Guilty
    -0.59
    etheless
    -0.59
     OC
    -0.57
     harbour
    -0.56
    POSITIVE LOGITS
    ullivan
    0.78
    agall
    0.77
    itzer
    0.71
     Hubbard
    0.70
    nel
    0.67
    ourke
    0.64
     Statue
    0.63
    tall
    0.62
    keley
    0.62
    ickey
    0.61
    Activations Density 0.150%

    No Known Activations