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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. 18318
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    Explanations

    phrases related to specialized skills or expertise, such as training in specific fields or knowledge of specific topics

    oai_token-act-pair · gpt-3.5-turbo

    professional knowledge and skills related to specific fields or professions

    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
     Defendants
    -0.67
     Pwr
    -0.66
    reenshot
    -0.63
     unanimous
    -0.62
    viks
    -0.62
     TEAM
    -0.61
    ãĥīãĥ©
    -0.61
    ãĥ¼ãĥ³
    -0.60
    awaited
    -0.60
    pload
    -0.60
    POSITIVE LOGITS
     sciences
    1.30
     topics
    1.19
     psychology
    1.18
     arts
    1.14
     disciplines
    1.12
    etics
    1.11
     mechanics
    1.11
     techniques
    1.10
    iculture
    1.10
     biology
    1.08
    Activations Density 0.427%

    No Known Activations