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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. 15685
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    Explanations

    phrases where someone talks about what they like to do or what activities they enjoy

    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
    river
    -0.63
    rising
    -0.63
    ratulations
    -0.63
    abiding
    -0.61
    teen
    -0.60
    cheon
    -0.60
    activation
    -0.60
    isite
    -0.60
    rance
    -0.58
     Settlement
    -0.58
    POSITIVE LOGITS
     remind
    1.17
     speculate
    1.14
     pretend
    1.09
     think
    1.09
     imagine
    1.06
     visualize
    1.04
     tease
    1.04
     joke
    1.03
     gamble
    1.00
     hear
    0.98
    Activations Density 0.061%

    No Known Activations