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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. 5-RES-JB
    6. 5449
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    Explanations

    dates or time periods

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a time frame, specifically the term "mid" followed by years

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AVG
    -0.79
     Cosponsors
    -0.75
     DRAG
    -0.68
    ADRA
    -0.65
     Painter
    -0.63
     badges
    -0.62
     Illum
    -0.62
     Starr
    -0.62
     SOS
    -0.62
     Neville
    -0.61
    POSITIVE LOGITS
    season
    1.07
    sized
    1.04
    sent
    1.03
    term
    1.02
    range
    1.01
    round
    1.01
    century
    1.00
    distance
    0.99
    level
    0.98
    budget
    0.98
    Activations Density 0.025%

    No Known Activations