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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 12-RES-JB
    11. 4322
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    Explanations

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    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to sources or citations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     aim
    -0.63
     hope
    -0.55
     tack
    -0.54
    eer
    -0.54
     mere
    -0.54
     stride
    -0.51
    Ħ¢
    -0.51
     denomin
    -0.50
     ordinary
    -0.50
     objective
    -0.49
    POSITIVE LOGITS
    Forge
    0.90
    :(
    0.79
    Fed
    0.76
    :
    0.76
    forge
    0.75
    endix
    0.70
     Provided
    0.68
    code
    0.68
    :[
    0.67
     Code
    0.63
    Activations Density 0.025%

    No Known Activations