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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. 6-RES-JB
    11. 14416
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    Explanations

    deadlines or time-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of deadlines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ateur
    -0.84
    ector
    -0.83
    oyal
    -0.80
    otto
    -0.76
    oles
    -0.74
    rosse
    -0.74
    quer
    -0.74
    omer
    -0.73
    Kent
    -0.72
    arel
    -0.71
    POSITIVE LOGITS
     deadlines
    1.16
     deadline
    1.12
     timeframe
    0.83
     Deadline
    0.81
     timer
    0.79
     schedule
    0.77
     clearance
    0.77
     looms
    0.75
     imposed
    0.74
     range
    0.72
    Activations Density 0.031%

    No Known Activations