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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. 3-RES-JB
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    Explanations

    references to the concept of ownership, specifically focusing on "owners."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "owners" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Airl
    -1.03
     Coch
    -0.73
     MacArthur
    -0.72
     Byrne
    -0.70
     Virus
    -0.68
    obo
    -0.68
     Lans
    -0.65
     Wilkinson
    -0.64
    bil
    -0.64
    OUT
    -0.64
    POSITIVE LOGITS
    hip
    1.25
    paces
    1.02
    hips
    0.91
    pace
    0.87
    owners
    0.87
    chool
    0.83
    folk
    0.82
     owners
    0.82
     beware
    0.81
    lege
    0.80
    Activations Density 0.015%

    No Known Activations