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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 13949
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    Explanations

    timestamps, especially in Eastern time, and other references to time

    oai_token-act-pair · gpt-3.5-turbo

    time references and specific timestamps

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     harness
    -0.66
    abella
    -0.66
    allion
    -0.65
     Inher
    -0.64
     hood
    -0.64
     lineback
    -0.64
     prolifer
    -0.64
     uninsured
    -0.62
    artments
    -0.61
    irez
    -0.60
    POSITIVE LOGITS
    GMT
    1.62
    UTC
    1.56
     GMT
    1.52
     PST
    1.43
     PDT
    1.42
     EST
    1.38
     EDT
    1.37
     CET
    1.30
     UTC
    1.27
     CST
    1.22
    Activations Density 0.170%

    No Known Activations