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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    words related to expressing concern or worry

    oai_token-act-pair · gpt-3.5-turbo

    the word "concerned" and variations of it, indicating expressions of worry or apprehension

    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
    artifacts
    -0.87
    alter
    -0.71
    ingers
    -0.68
    bows
    -0.68
    bowl
    -0.68
    robe
    -0.67
    tiny
    -0.67
    ipe
    -0.66
    PASS
    -0.66
    toggle
    -0.65
    POSITIVE LOGITS
     citiz
    0.87
    cerned
    0.84
     concerned
    0.82
    ertodd
    0.79
     worried
    0.75
     Concern
    0.74
    atives
    0.72
    enza
    0.72
     concern
    0.72
     parental
    0.70
    Activations Density 0.012%

    No Known Activations