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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. 4-RES-JB
    11. 1920
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    Explanations

    numerical measurements of time in seconds

    oai_token-act-pair · gpt-3.5-turbo

    references to durations of time, specifically in seconds

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

    No Comments

    Negative Logits
    hammer
    -0.68
    stra
    -0.67
    irie
    -0.66
    inav
    -0.66
    oret
    -0.65
    roots
    -0.64
    issue
    -0.64
    rim
    -0.61
    gat
    -0.59
    elf
    -0.59
    POSITIVE LOGITS
     elapsed
    1.13
    aneously
    0.93
     msec
    0.84
    seconds
    0.83
     intervals
    0.79
     ago
    0.79
    glass
    0.79
    ngth
    0.78
     seconds
    0.78
     apiece
    0.77
    Activations Density 0.011%

    No Known Activations