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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. 4-RES-JB
    11. 20221
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    Explanations

    phrases emphasizing the importance of certain actions or considerations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the importance of understanding or noting particular actions or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.77
     zombies
    -0.70
     vomiting
    -0.67
     fumes
    -0.67
    TPPStreamerBot
    -0.65
    balls
    -0.65
    azed
    -0.65
    Cola
    -0.64
     dolphins
    -0.63
    sql
    -0.63
    POSITIVE LOGITS
     preserving
    0.73
     emphas
    0.71
     ensuring
    0.70
     apprehend
    0.69
     decode
    0.68
     ensure
    0.68
     differentiate
    0.67
     maintaining
    0.67
     deterrence
    0.67
     decipher
    0.66
    Activations Density 0.299%

    No Known Activations