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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. 5141
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    Explanations

    text related to sports, specifically football

    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
     Craigslist
    -0.75
     Slate
    -0.64
     Ballard
    -0.63
     Tacoma
    -0.62
     Seeking
    -0.61
     hypothesized
    -0.61
     Supplemental
    -0.60
     Spokane
    -0.60
    Ohio
    -0.60
     Lamar
    -0.60
    POSITIVE LOGITS
     practise
    0.78
     learnt
    0.77
     afterwards
    0.76
     rubbish
    0.71
     !!
    0.70
     civilisation
    0.70
    `.
    0.69
     colours
    0.68
     unbelievable
    0.68
     ana
    0.67
    Activations Density 1.450%

    No Known Activations