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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

    proper nouns referring to individuals as owners of various entities

    oai_token-act-pair · gpt-3.5-turbo

    the term "owner" related to various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     Airl
    -0.83
    ilde
    -0.79
    schild
    -0.75
    psey
    -0.73
    eday
    -0.72
    ilitary
    -0.71
    bil
    -0.69
    romy
    -0.69
    awk
    -0.68
     MacArthur
    -0.67
    POSITIVE LOGITS
     owner
    0.90
    owners
    0.87
    owner
    0.86
    esses
    0.77
     owners
    0.75
     beware
    0.74
    holder
    0.73
    Owner
    0.72
     Owner
    0.72
     propriet
    0.70
    Activations Density 0.018%

    No Known Activations