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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. 9-RES-JB
    6. 6774
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    Explanations

    dates and locations in news article excerpts

    oai_token-act-pair · gpt-3.5-turbo

    dates and locations relevant to news events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Tact
    -0.67
    76561
    -0.60
    geist
    -0.60
     ourselves
    -0.59
    rite
    -0.58
    mental
    -0.56
    Reloaded
    -0.56
     whiff
    -0.56
     yourselves
    -0.53
     unanswered
    -0.53
    POSITIVE LOGITS
     REUTERS
    0.90
    allery
    0.82
    FILE
    0.77
     pose
    0.74
     Courtesy
    0.74
     poses
    0.73
     illustration
    0.71
     ©
    0.70
    UTERS
    0.70
    ./
    0.70
    Activations Density 0.055%

    No Known Activations