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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. 12084
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    Explanations

    phrases related to significant accomplishments or achievements

    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
     precaution
    -0.64
     consultations
    -0.63
    arij
    -0.62
     consultation
    -0.62
     informal
    -0.61
     wording
    -0.61
     methodological
    -0.59
     Volunte
    -0.58
     anecdotal
    -0.58
     Cosponsors
    -0.57
    POSITIVE LOGITS
    illions
    1.11
     someday
    1.08
     forever
    1.04
     immortality
    0.98
     eternity
    0.97
    livion
    0.95
    thood
    0.88
     trillions
    0.86
     unbeat
    0.84
     heaven
    0.83
    Activations Density 1.052%

    No Known Activations