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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. 8-RES-JB
    6. 4391
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    INDEX
    Explanations

    location descriptions, such as street names and types of establishments like auto dealerships

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or movements associated with events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Replay
    -0.65
    pires
    -0.64
    "},"
    -0.63
     historically
    -0.61
     regimes
    -0.61
    zbollah
    -0.58
    )?
    -0.58
     depends
    -0.57
     inherently
    -0.57
     millennial
    -0.55
    POSITIVE LOGITS
    —"
    0.84
    Newsletter
    0.76
    quit
    0.65
    agent
    0.64
    —-
    0.63
    igslist
    0.62
     glim
    0.59
    EH
    0.59
     assum
    0.58
    Advertisement
    0.58
    Activations Density 1.225%

    No Known Activations