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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. 604
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    Explanations

    phrases related to running software or applications

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the execution of programs or software processes

    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
    ortium
    -0.71
    alty
    -0.70
    idan
    -0.68
    grave
    -0.68
    iatus
    -0.66
    ayers
    -0.66
    ylum
    -0.65
     headlined
    -0.64
    ighter
    -0.64
    uple
    -0.64
    POSITIVE LOGITS
    tests
    0.98
     smoothly
    0.85
     tests
    0.78
     simulations
    0.76
    linux
    0.76
     af
    0.75
     Tests
    0.73
     benchmarks
    0.73
     concurrently
    0.73
    tested
    0.72
    Activations Density 0.034%

    No Known Activations