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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. 7-RES-JB
    6. 2420
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    Explanations

    phrases expressing strong opinions or beliefs

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oled
    -0.77
    blem
    -0.76
    omsky
    -0.72
    oling
    -0.71
    =~=~
    -0.69
    ositories
    -0.68
    ernels
    -0.67
    oÄŁan
    -0.67
    lia
    -0.63
    Newsletter
    -0.62
    POSITIVE LOGITS
     goodbye
    1.14
     bye
    0.98
     aloud
    0.84
    lihood
    0.75
     amen
    0.69
     publicly
    0.69
     hello
    0.67
     loudly
    0.62
    YN
    0.62
     sorry
    0.61
    Activations Density 0.065%

    No Known Activations