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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
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    Explanations

    words related to emotions of frustration and annoyance

    oai_token-act-pair · gpt-3.5-turbo

    expressions of frustration and annoyance

    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
    •layer 9 - anger

    No Comments

    Negative Logits
    izations
    -0.89
    ablishment
    -0.86
    fman
    -0.86
    eele
    -0.85
    orthy
    -0.84
    edom
    -0.80
    isations
    -0.79
    ahead
    -0.77
    raviolet
    -0.76
    agogue
    -0.73
    POSITIVE LOGITS
     headaches
    0.90
     frustrating
    0.85
    nesses
    0.82
     vex
    0.81
     irritating
    0.78
     frustration
    0.78
     annoying
    0.78
     annoy
    0.77
     stubborn
    0.76
     frustrations
    0.75
    Activations Density 0.117%

    No Known Activations