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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. 6810
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    Explanations

    names of publications or media outlets followed by interviews

    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
    TRY
    -0.80
    ãĤ¦ãĤ¹
    -0.74
    displayText
    -0.74
    ongevity
    -0.73
    rats
    -0.70
    vec
    -0.70
    agram
    -0.70
    othal
    -0.68
    osc
    -0.66
    $$$$
    -0.64
    POSITIVE LOGITS
     spokesperson
    0.93
     however
    0.86
     spokesman
    0.84
     spokeswoman
    0.84
     meanwhile
    0.80
     dated
    0.79
     Greenwald
    0.78
     CEO
    0.76
     citing
    0.73
     former
    0.72
    Activations Density 0.103%

    No Known Activations