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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 2040
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    Explanations

    references to items or people that are worn or have been worn

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "worn."

    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
     Extract
    -0.65
     Cooperative
    -0.65
     Analy
    -0.64
    Analy
    -0.63
     gamma
    -0.63
    respond
    -0.62
    uru
    -0.61
    expl
    -0.61
    percent
    -0.61
    atur
    -0.61
    POSITIVE LOGITS
     worn
    3.98
    worn
    2.24
     wear
    2.06
     wore
    1.95
     wearer
    1.88
     wears
    1.81
     Wear
    1.48
     wearing
    1.47
     wearable
    1.44
     ridden
    1.41
    Activations Density 0.011%

    No Known Activations