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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. 19604
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    INDEX
    Explanations

    mentions of institutions related to science and technology

    oai_token-act-pair · gpt-3.5-turbo

    references to science and technology in various contexts

    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
    endez
    -0.89
     chains
    -0.67
    forth
    -0.66
     Sabha
    -0.64
    iHUD
    -0.63
    pload
    -0.62
    ouses
    -0.61
     arra
    -0.60
    PsyNetMessage
    -0.60
    çĦ
    -0.60
    POSITIVE LOGITS
    Technology
    1.30
    technology
    1.30
     Engineering
    1.24
     humanities
    1.23
     Technology
    1.22
    engineering
    1.15
     technology
    1.12
     engineering
    1.11
     Mathematics
    1.10
    Science
    1.04
    Activations Density 0.078%

    No Known Activations