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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. 1-RES-JB
    11. 11306
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    Explanations

    verbs related to negative experiences or conditions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "suffer" and its variations, indicating experiences of pain or hardship

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cle
    -0.72
     bloc
    -0.69
    rouse
    -0.62
    illary
    -0.62
    ranean
    -0.61
    rake
    -0.59
    cop
    -0.58
    wed
    -0.58
    aer
    -0.57
    urry
    -0.56
    POSITIVE LOGITS
     suffer
    0.83
    ansson
    0.79
    nesses
    0.79
    rences
    0.77
     horrend
    0.76
     setbacks
    0.76
     suffered
    0.74
     headaches
    0.72
    lehem
    0.71
     horribly
    0.70
    Activations Density 0.007%

    No Known Activations