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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. 9-RES-JB
    11. 4780
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    Explanations

    words related to uncertainty and sentiment about various topics

    oai_token-act-pair · gpt-3.5-turbo

    repetitive expressions of uncertainty or hesitation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    tein
    -0.89
    vic
    -0.79
     nevertheless
    -0.72
    moil
    -0.71
    ifully
    -0.70
     nonetheless
    -0.69
    jandro
    -0.62
    voy
    -0.61
    iful
    -0.61
    anan
    -0.61
    POSITIVE LOGITS
     bothered
    0.95
     cared
    0.94
     bother
    0.86
     anymore
    0.85
    hin
    0.85
     mattered
    0.82
     bothering
    0.81
     anywhere
    0.75
     fit
    0.75
     dime
    0.72
    Activations Density 0.061%

    No Known Activations