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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. 11-RES-JB
    6. 20212
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    Explanations

    numerical patterns in the format of "digit-digit" with potential accompanying terms

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the number of times someone has achieved a particular status or title

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kimmel
    -0.61
     liking
    -0.60
     IPM
    -0.59
     eas
    -0.59
     Coul
    -0.59
     Koen
    -0.57
     overrun
    -0.57
     Carnage
    -0.55
     "$:/
    -0.55
     Tomorrow
    -0.54
    POSITIVE LOGITS
    time
    1.54
    term
    1.18
    timer
    1.17
    times
    1.12
    etime
    1.00
    year
    0.97
    Timer
    0.95
    generation
    0.94
     timers
    0.94
    tim
    0.90
    Activations Density 0.101%

    No Known Activations