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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. 7-RES-JB
    11. 20857
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    Explanations

    timestamps or chronological sequences

    oai_token-act-pair · gpt-3.5-turbo

    references to timelines and chronological events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otto
    -0.80
    inence
    -0.80
    tan
    -0.77
    amiya
    -0.76
    bery
    -0.76
    ateurs
    -0.76
    unin
    -0.76
    iasis
    -0.75
    hammad
    -0.75
    oaded
    -0.74
    POSITIVE LOGITS
     timeline
    1.06
     timelines
    1.02
     Timeline
    0.94
     elapsed
    0.84
     timeframe
    0.79
     Clock
    0.77
     Chron
    0.76
     chron
    0.76
     creep
    0.76
     msec
    0.74
    Activations Density 0.040%

    No Known Activations