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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. 12979
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    Explanations

    words related to commitments or promises

    oai_token-act-pair · gpt-3.5-turbo

    references to formal obligations or agreements

    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
    NING
    -0.71
    Else
    -0.69
     mole
    -0.65
    OCK
    -0.63
    oran
    -0.62
    Unix
    -0.61
    asus
    -0.60
    Jackson
    -0.59
    atin
    -0.59
    ocker
    -0.59
    POSITIVE LOGITS
     commitments
    1.40
     obligations
    1.08
     arrang
    0.99
     deadlines
    0.93
    reements
    0.93
     engagements
    0.86
     challeng
    0.81
     incurred
    0.80
     pledges
    0.80
     agreements
    0.79
    Activations Density 0.006%

    No Known Activations