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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. 3730
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to specific entities, brands, or organizations

    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
    abwe
    -0.83
    anchester
    -0.74
    sembly
    -0.71
    mble
    -0.71
    aphael
    -0.69
    assetsadobe
    -0.68
     coerc
    -0.67
     myster
    -0.67
    ccording
    -0.67
     princ
    -0.67
    POSITIVE LOGITS
     Builder
    0.62
     Labs
    0.60
     Tower
    0.58
     Sight
    0.58
    Streamer
    0.57
     Creek
    0.57
     Towers
    0.57
     Passage
    0.56
     Tears
    0.56
     itself
    0.55
    Activations Density 0.464%

    No Known Activations