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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. 9-RES-JB
    11. 17546
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    Explanations

    verbs or phrases related to taking action or making decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to taking action or urgency in addressing issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itton
    -0.71
     amusement
    -0.70
     fame
    -0.67
     circulation
    -0.65
    ffee
    -0.61
     specialization
    -0.60
    obar
    -0.59
     latt
    -0.57
     pecul
    -0.57
     hobby
    -0.57
    POSITIVE LOGITS
     decisively
    1.08
     urgently
    1.05
     ASAP
    1.01
     legisl
    1.01
     responsibly
    1.01
     sooner
    0.97
     unilaterally
    0.88
     swiftly
    0.87
     reforms
    0.86
    displayText
    0.85
    Activations Density 0.354%

    No Known Activations