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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. 9-RES-JB
    6. 2130
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    Explanations

    phrases related to dishonesty and deception

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     realised
    -0.78
     Originally
    -0.69
    cohol
    -0.68
     realise
    -0.66
     util
    -0.66
    sufficient
    -0.64
     Secondly
    -0.64
     Extras
    -0.64
    ORPG
    -0.63
     differed
    -0.62
    POSITIVE LOGITS
     boycot
    0.95
     legislatures
    0.94
     ALEC
    0.92
     defund
    0.91
     congressional
    0.90
     scandals
    0.89
     lobbying
    0.87
     draconian
    0.87
     complicit
    0.87
     Congressional
    0.85
    Activations Density 1.118%

    No Known Activations