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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. 22945
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    Explanations

    phrases prompting the reader to pay attention or consider something

    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
    lees
    -0.87
    oing
    -0.80
    sbm
    -0.79
    soever
    -0.74
    iar
    -0.74
    =~=~
    -0.74
    oided
    -0.70
    iere
    -0.68
    raged
    -0.68
    ittle
    -0.66
    POSITIVE LOGITS
     WHY
    1.11
     something
    1.08
     what
    1.05
     why
    1.04
     how
    0.99
     causation
    0.97
     ourselves
    0.96
     basics
    0.94
     some
    0.91
     facts
    0.90
    Activations Density 0.218%

    No Known Activations