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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. 4-RES-JB
    11. 9604
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    Explanations

    phrases related to emergencies or urgent situations

    oai_token-act-pair · gpt-3.5-turbo

    terms that convey urgency

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

    No Comments

    Negative Logits
    edin
    -0.83
    wagen
    -0.80
    aunder
    -0.77
    elson
    -0.71
    gemony
    -0.70
    ingers
    -0.69
    poon
    -0.68
    arthed
    -0.68
     Cheney
    -0.68
    jac
    -0.67
    POSITIVE LOGITS
     urgency
    1.11
     urgent
    1.07
     proble
    0.99
     urgently
    0.94
     necessity
    0.87
     priority
    0.82
     concern
    0.82
     imperative
    0.80
     consideration
    0.79
     demand
    0.79
    Activations Density 0.012%

    No Known Activations