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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. 11135
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    Explanations

    technology-related terms and concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to various technologies

    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
    union
    -0.72
     Lew
    -0.70
    chio
    -0.65
    ional
    -0.65
     Mons
    -0.64
     Boxing
    -0.63
    ordered
    -0.62
    iyah
    -0.62
     Sheet
    -0.61
    irmed
    -0.61
    POSITIVE LOGITS
     technologies
    3.45
     technology
    2.38
    technology
    2.15
    Technology
    2.01
     Technologies
    1.98
     innovations
    1.87
     technological
    1.84
     Technology
    1.76
     techniques
    1.75
     inventions
    1.75
    Activations Density 0.018%

    No Known Activations