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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. 8755
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    Explanations

    opportunities for action or advancement

    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
    keeping
    -0.72
     Needs
    -0.70
    requires
    -0.69
     expecting
    -0.66
    til
    -0.66
     Forced
    -0.63
    Got
    -0.63
    keepers
    -0.63
     Keeper
    -0.62
    liness
    -0.62
    POSITIVE LOGITS
     shine
    1.34
     prove
    1.14
     explore
    1.14
     capitalize
    1.14
     showcase
    1.11
     intervene
    1.10
     participate
    1.10
     redeem
    1.09
     demonstrate
    1.08
     regain
    1.08
    Activations Density 0.074%

    No Known Activations