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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. 10-RES-JB
    11. 9255
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    Explanations

    pronouns and related words

    oai_token-act-pair · gpt-3.5-turbo

    references to the subject "they" in relation to various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DAY
    -0.66
    thinking
    -0.65
     Reading
    -0.63
    mits
    -0.60
    amaz
    -0.58
    wards
    -0.58
     Brother
    -0.57
     Kelvin
    -0.57
    WARD
    -0.57
    CCC
    -0.57
    POSITIVE LOGITS
    're
    1.81
     are
    1.39
    've
    1.31
     aren
    1.31
     contain
    1.25
     belong
    1.25
     originate
    1.23
     weren
    1.18
     constitute
    1.18
     were
    1.17
    Activations Density 0.156%

    No Known Activations