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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. 6891
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    Explanations

    mentions of specific organizations or entities with the word "Wa" in them

    oai_token-act-pair · gpt-3.5-turbo
    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
    sis
    -1.02
    sticks
    -0.67
    rations
    -0.63
    raph
    -0.63
    sson
    -0.62
    erous
    -0.61
    lio
    -0.61
    handedly
    -0.60
    lycer
    -0.59
    hetti
    -0.59
    POSITIVE LOGITS
    velength
    1.58
    veland
    1.12
    isted
    1.09
    iting
    1.06
    heed
    1.03
    pless
    1.02
    isance
    1.00
    uthor
    0.96
    ILA
    0.96
    ited
    0.95
    Activations Density 0.042%

    No Known Activations