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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. 4234
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    Explanations

    formal communication fragments, including names and titles

    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
    oiler
    -0.77
     gore
    -0.73
     dunno
    -0.70
     hardcore
    -0.69
     legit
    -0.68
     partying
    -0.68
     Panic
    -0.68
     cops
    -0.68
    umat
    -0.68
     destro
    -0.68
    POSITIVE LOGITS
     Honour
    1.46
     sir
    1.28
     gentlemen
    1.24
     respectfully
    1.17
     gentleman
    1.14
     Chairman
    1.13
    Chair
    1.11
     Thank
    1.06
    reetings
    1.06
     Gentle
    1.06
    Activations Density 0.671%

    No Known Activations