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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. 22820
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    Explanations

    phrases related to recurring events that happen consistently within a year

    oai_token-act-pair · gpt-3.5-turbo

    recurring references to annual statistics or measurements

    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
    holes
    -0.82
    ocard
    -0.72
    ergus
    -0.70
    imir
    -0.69
    reprene
    -0.68
    yp
    -0.67
    yle
    -0.66
    hole
    -0.64
    elo
    -0.63
    arnaev
    -0.62
    POSITIVE LOGITS
     thereafter
    1.04
     conclud
    0.84
     consecut
    0.77
     proport
    0.75
    rics
    0.74
     annually
    0.71
     contrace
    0.71
    ãĥ£
    0.70
     unden
    0.70
     iod
    0.69
    Activations Density 0.012%

    No Known Activations