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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. 11-RES-JB
    11. 1181
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    Explanations

    words related to equipment malfunctions and accidents

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to electrical and fire hazards in appliances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ftime
    -0.84
    HCR
    -0.83
    thood
    -0.78
    Campaign
    -0.75
    bnb
    -0.73
    riend
    -0.73
    umblr
    -0.72
     Liberties
    -0.72
     Wealth
    -0.72
    chool
    -0.71
    POSITIVE LOGITS
     malfunction
    1.67
     rupture
    1.50
     rupt
    1.46
     faulty
    1.44
     corrosion
    1.36
     malf
    1.34
     corro
    1.33
     defective
    1.31
     valves
    1.31
     overhe
    1.29
    Activations Density 0.460%

    No Known Activations