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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. 1-RES-JB
    6. 4057
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    INDEX
    Explanations

    words related to being thorough, exacting, or strict in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rigorousness and strictness in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Hero
    -0.77
    Phones
    -0.76
    Land
    -0.67
    oids
    -0.65
    plant
    -0.65
    opter
    -0.65
     Elder
    -0.64
    thus
    -0.64
    ods
    -0.62
     Alive
    -0.62
    POSITIVE LOGITS
     rigorous
    1.21
     scrutiny
    0.97
    orously
    0.90
     mathemat
    0.87
     vetting
    0.87
     testing
    0.86
     conduc
    0.82
     dilig
    0.81
     benchmark
    0.76
     formal
    0.76
    Activations Density 0.008%

    No Known Activations