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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. 1490
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    Explanations

    words related to necessity or obligation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate obligations or requirements

    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
     eyeing
    -0.69
     Onion
    -0.67
     rash
    -0.62
     pledging
    -0.61
     Guilty
    -0.60
     Cord
    -0.57
     Vas
    -0.56
     pressing
    -0.55
     enjoying
    -0.54
     unaware
    -0.54
    POSITIVE LOGITS
    wered
    1.12
     suffice
    0.97
     be
    0.95
     withstand
    0.93
     occur
    0.92
     undergo
    0.91
     accommodate
    0.87
    ANG
    0.83
     satisfy
    0.82
     belong
    0.80
    Activations Density 0.104%

    No Known Activations