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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 8703
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    Explanations

    phrases describing tendencies or inclinations

    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
    zbek
    -0.68
    yz
    -0.63
    gur
    -0.62
     Polo
    -0.62
    loo
    -0.55
    pelling
    -0.54
    terday
    -0.53
    ZA
    -0.52
     Slate
    -0.52
    fts
    -0.52
    POSITIVE LOGITS
    rils
    1.33
    entious
    1.24
     toward
    1.14
     towards
    1.07
     to
    1.01
    ril
    0.93
    entimes
    0.90
    erest
    0.84
    ered
    0.79
    erers
    0.75
    Activations Density 0.035%

    No Known Activations