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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. 2-RES-JB
    11. 4472
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    Explanations

    phrases related to negative experiences or hardships

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "suffered" indicating experiences of hardship or pain

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ococ
    -0.81
    cle
    -0.76
    law
    -0.69
     bloc
    -0.66
    urry
    -0.66
    rouse
    -0.65
    appro
    -0.65
    apo
    -0.63
    wed
    -0.63
    illary
    -0.62
    POSITIVE LOGITS
     setbacks
    0.93
     suffered
    0.91
    ansson
    0.82
     losses
    0.79
     endured
    0.79
     horrend
    0.77
     inflicted
    0.73
    jured
    0.73
     suffer
    0.73
     experien
    0.72
    Activations Density 0.011%

    No Known Activations