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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. 8488
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    oai_token-act-pair · gpt-3.5-turbo
    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
    rouse
    -0.67
    gee
    -0.64
    lier
    -0.63
    hran
    -0.63
    alus
    -0.60
    ichen
    -0.60
    aban
    -0.60
    aminer
    -0.59
    EStream
    -0.59
     hast
    -0.58
    POSITIVE LOGITS
    ocating
    1.14
     kinds
    1.09
    igator
    1.09
    ocations
    1.08
     sorts
    1.02
    igators
    1.02
    iances
    1.00
    owing
    0.98
    ocate
    0.96
    ocated
    0.95
    Activations Density 0.102%

    No Known Activations