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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. 10-RES-JB
    6. 18044
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    Explanations

    phrases related to professional practices or activities

    oai_token-act-pair · gpt-3.5-turbo

    instances of time, duration, and references to practice or performance situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kefeller
    -0.78
    arnaev
    -0.71
    Detailed
    -0.68
    osponsors
    -0.67
    ¥ŀ
    -0.64
    groupon
    -0.60
    ongyang
    -0.60
    ãĤ´ãĥ³
    -0.58
    SourceFile
    -0.58
    ogly
    -0.57
    POSITIVE LOGITS
     I
    1.30
     we
    1.19
     they
    1.03
     nobody
    1.00
     you
    0.99
     yeah
    0.96
     though
    0.95
     everybody
    0.93
     it
    0.93
     he
    0.93
    Activations Density 0.255%

    No Known Activations