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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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    INDEX
    Explanations

    words related to negative emotions, particularly frustration

    oai_token-act-pair · gpt-3.5-turbo

    expressions of frustration and related negative emotions

    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
     authenticated
    -0.79
     screened
    -0.75
     fitted
    -0.74
     operated
    -0.73
     acted
    -0.71
     regulated
    -0.70
     constituted
    -0.67
    yz
    -0.66
     married
    -0.66
     employed
    -0.66
    POSITIVE LOGITS
     frustration
    3.07
     disappointment
    2.77
     annoyance
    2.40
     displeasure
    2.31
     dissatisfaction
    2.27
     frustrations
    2.26
     irritation
    2.15
     embarrassment
    2.05
     disgust
    2.01
     discontent
    1.93
    Activations Density 0.025%

    No Known Activations