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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
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    Explanations

    pronouns showing possession

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the pronoun "Their."

    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
     circuit
    -0.61
     manual
    -0.59
    ,
    -0.57
     slip
    -0.57
     tube
    -0.57
     planner
    -0.56
     loop
    -0.56
     he
    -0.56
     reset
    -0.56
     right
    -0.56
    POSITIVE LOGITS
     Their
    3.18
    Their
    2.67
    their
    2.23
     THEIR
    2.09
     They
    1.97
    They
    1.73
     their
    1.49
     Them
    1.46
     Its
    1.45
    selves
    1.32
    Activations Density 0.009%

    No Known Activations