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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. 0-RES-JB
    6. 99
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    Explanations

    names ending in "ovsky"

    oai_token-act-pair · gpt-3.5-turbo

    repeated instances of a specific name or keyword

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     border
    -0.76
     NC
    -0.67
     alcohol
    -0.66
     Border
    -0.64
     drugs
    -0.64
     classified
    -0.63
     row
    -0.63
     NCT
    -0.63
     ACC
    -0.62
     drug
    -0.61
    POSITIVE LOGITS
    ovsky
    4.78
    owsky
    1.78
    ovich
    1.70
    owski
    1.53
    akov
    1.44
    ov
    1.35
    henko
    1.31
    ansky
    1.31
    ovych
    1.30
    iewicz
    1.28
    Activations Density 0.011%

    No Known Activations