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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. 3-RES-JB
    11. 9049
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    Explanations

    words related to annoyance or irritation

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to annoyance and nuisances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ariat
    -0.89
    ardless
    -0.84
    ramid
    -0.82
    bard
    -0.79
    ining
    -0.79
    arian
    -0.78
    borg
    -0.78
    rine
    -0.77
    culation
    -0.75
    irled
    -0.75
    POSITIVE LOGITS
     nuisance
    1.21
     obnoxious
    1.05
     annoy
    1.04
     annoying
    1.01
     annoyance
    0.97
     pests
    0.88
     undermin
    0.85
     irritating
    0.83
     wart
    0.83
     inconvenience
    0.83
    Activations Density 0.021%

    No Known Activations