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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. 0-RES-JB
    6. 24218
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    Explanations

    research-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to research institutions and studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disorderly
    -0.76
     sto
    -0.72
    footed
    -0.71
     inclusive
    -0.70
    stood
    -0.69
    empt
    -0.69
    akespe
    -0.68
     pas
    -0.67
     occasion
    -0.67
    outs
    -0.66
    POSITIVE LOGITS
     Research
    3.57
    Research
    2.78
    research
    2.40
     research
    2.20
     Researchers
    1.84
     Studies
    1.71
     researcher
    1.60
    Studies
    1.53
    Researchers
    1.52
     Study
    1.47
    Activations Density 0.013%

    No Known Activations