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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. 17624
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    Explanations

    words related to negative emotions such as frustration, anger, disappointment, and discontent

    oai_token-act-pair · gpt-3.5-turbo

    expressions of negative emotions, particularly frustration and disappointment

    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
    amins
    -0.78
    ĻĤ
    -0.69
     Copy
    -0.62
     rough
    -0.62
     Conduct
    -0.61
    amen
    -0.61
    icle
    -0.60
    apixel
    -0.60
    orman
    -0.60
    oret
    -0.59
    POSITIVE LOGITS
    lessness
    1.06
    fulness
    1.04
     overcame
    0.94
     stricken
    0.90
    ingly
    0.89
     quot
    0.89
     fuelled
    0.85
     stemming
    0.84
     arising
    0.83
     aroused
    0.82
    Activations Density 0.200%

    No Known Activations