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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. 2365
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    Explanations

    words related to the concept of subsistence and subsiding

    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
    rod
    -0.75
     Archdemon
    -0.67
    ======
    -0.67
    --------------------------------------------------------
    -0.66
     Blazers
    -0.64
    âĢ¢âĢ¢
    -0.62
    claw
    -0.60
     secrets
    -0.59
     hoops
    -0.59
    robe
    -0.59
    POSITIVE LOGITS
    itute
    1.10
    arian
    1.03
    umed
    0.95
    itionally
    0.93
    arians
    0.90
    isting
    0.87
    idence
    0.86
    iery
    0.86
    iture
    0.85
    itutes
    0.84
    Activations Density 0.102%

    No Known Activations