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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. 6-RES-JB
    6. 17998
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    INDEX
    Explanations

    terms related to food processing and preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    mentions of locations or places in relation to specific events or entities

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nightly
    -0.70
     covenant
    -0.68
     sculpt
    -0.66
     raft
    -0.66
     tram
    -0.64
     dece
    -0.64
     payroll
    -0.63
     agre
    -0.63
     camp
    -0.61
     daily
    -0.60
    POSITIVE LOGITS
    Advertisements
    1.24
    Instead
    1.13
    If
    1.11
    Whether
    1.08
    Conclusion
    1.07
    Advertisement
    1.06
    When
    1.06
    While
    1.06
    There
    1.05
    It
    1.05
    Activations Density 0.632%

    No Known Activations