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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. 9-RES-JB
    11. 19392
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    Explanations

    quotations within formal statements

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the" in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    200000
    -0.80
    lihood
    -0.73
     because
    -0.72
    ecast
    -0.70
    akedown
    -0.70
    tracks
    -0.69
     along
    -0.68
     owing
    -0.68
     insofar
    -0.67
    verage
    -0.67
    POSITIVE LOGITS
     narrator
    1.16
     statement
    1.01
     latter
    0.97
     reviewer
    0.96
     authors
    0.92
     secretary
    0.89
     interviewer
    0.89
     spokesperson
    0.88
     Dalai
    0.88
     spokesman
    0.88
    Activations Density 0.132%

    No Known Activations