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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. 0-RES-JB
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    Explanations

    words related to excitement

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of excitement or thrilling experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     âĢķ
    -0.69
     Response
    -0.66
    lessness
    -0.65
     Practices
    -0.64
     Percentage
    -0.63
    iciency
    -0.62
    ensis
    -0.62
     Hut
    -0.61
    dict
    -0.61
    Staff
    -0.61
    POSITIVE LOGITS
     exciting
    3.18
     thrilling
    2.20
     intriguing
    1.89
     interesting
    1.79
     fascinating
    1.73
     exhilar
    1.70
     enticing
    1.68
     excitement
    1.63
     inspiring
    1.47
     amazing
    1.47
    Activations Density 0.020%

    No Known Activations