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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    phrases related to emotional distress, particularly crying

    oai_token-act-pair · gpt-3.5-turbo

    emotional expressions of crying and weeping

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ounty
    -0.70
     Precision
    -0.70
     Tech
    -0.66
    ield
    -0.64
    Ul
    -0.64
    apeake
    -0.63
     Accuracy
    -0.63
     Upgrade
    -0.62
     Ven
    -0.62
    uth
    -0.62
    POSITIVE LOGITS
     crying
    3.53
     weeping
    2.47
     screaming
    1.96
     laughing
    1.83
     yelling
    1.77
     moaning
    1.73
     sob
    1.62
     shouting
    1.62
     whining
    1.62
     apologizing
    1.52
    Activations Density 0.022%

    No Known Activations