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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. 6-RES-JB
    6. 23408
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    Explanations

    dates expressed as the year

    oai_token-act-pair · gpt-3.5-turbo

    instances of time-related phrases, especially those indicating a specific point in the past

    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
    ¬¼
    -0.69
    eries
    -0.68
    tro
    -0.67
    atio
    -0.66
    irc
    -0.66
    alogy
    -0.65
     Generic
    -0.60
    asma
    -0.59
    natureconservancy
    -0.59
    roid
    -0.59
    POSITIVE LOGITS
     according
    0.95
     although
    0.91
     culminating
    0.89
     prompting
    0.85
     huh
    0.82
     marking
    0.81
     leaving
    0.80
    when
    0.79
     namely
    0.79
     albeit
    0.78
    Activations Density 0.314%

    No Known Activations