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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 2356
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    Explanations

    time-related terms like days, weeks, months, and years

    oai_token-act-pair · gpt-3.5-turbo

    references to recent events or time-specific occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ////////////////////////////////
    -0.68
    arta
    -0.64
    SPA
    -0.60
    itute
    -0.59
    ãĥĺ
    -0.58
    eers
    -0.57
    itutes
    -0.57
    heid
    -0.56
    maximum
    -0.55
    please
    -0.54
    POSITIVE LOGITS
     when
    1.20
    when
    1.11
     unveiling
    0.83
     announcing
    0.76
     WHEN
    0.75
     regarding
    0.74
     after
    0.70
     morning
    0.68
     alleging
    0.67
     unveil
    0.67
    Activations Density 0.247%

    No Known Activations