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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. 3737
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    Explanations

    dates or mentions of events involving the death of individuals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of dates and related timeline events

    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
    soDeliveryDate
    -0.79
    ggles
    -0.67
    ework
    -0.64
    dayName
    -0.64
    natureconservancy
    -0.63
    Export
    -0.62
    pires
    -0.60
     diagram
    -0.60
     suggestion
    -0.60
    itiz
    -0.59
    POSITIVE LOGITS
     aged
    0.91
     tragically
    0.90
     wounds
    0.83
     dehydration
    0.83
     Deaths
    0.82
    ukemia
    0.80
     surrounded
    0.78
     prematurely
    0.76
     succumbed
    0.74
     poisoning
    0.74
    Activations Density 0.245%

    No Known Activations