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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. 8-RES-JB
    11. 14961
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    Explanations

    phrases related to time

    oai_token-act-pair · gpt-3.5-turbo

    references to time measurements and durations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    riad
    -0.94
    ortium
    -0.91
    uthor
    -0.83
    ourt
    -0.79
    alis
    -0.71
    reditary
    -0.70
    ramid
    -0.69
    kef
    -0.67
    rahim
    -0.67
    lar
    -0.67
    POSITIVE LOGITS
    frames
    1.39
     elapsed
    1.11
    frame
    0.99
     continuum
    0.96
    zone
    0.90
     lapse
    0.90
    outs
    0.90
     periods
    0.88
     expectancy
    0.85
     consuming
    0.85
    Activations Density 0.074%

    No Known Activations