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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 13016
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to people, places, or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ................................
    -0.73
    probably
    -0.71
    ©¶æ¥µ
    -0.70
    lime
    -0.69
    Sharp
    -0.64
    2200
    -0.64
    acceptable
    -0.63
    INC
    -0.62
    marked
    -0.60
    Spread
    -0.59
    POSITIVE LOGITS
     arrives
    1.01
     enters
    0.98
     finally
    0.97
     arrived
    0.96
     debuted
    0.95
     reaches
    0.87
     decides
    0.87
     asked
    0.86
     comes
    0.86
     approached
    0.85
    Activations Density 0.292%

    No Known Activations