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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. 2-RES-JB
    11. 12078
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    Explanations

    terms related to negative consequences or extreme situations

    oai_token-act-pair · gpt-3.5-turbo

    the word "severe" and its related contexts, indicating significant intensity or impact

    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
    tein
    -0.83
     Kinnikuman
    -0.81
    ynthesis
    -0.80
    xxxxxxxx
    -0.80
    ioch
    -0.79
    adr
    -0.78
    hops
    -0.77
    atography
    -0.73
    pires
    -0.72
    rious
    -0.70
    POSITIVE LOGITS
     earthqu
    1.03
     severity
    1.00
     severe
    0.97
     distress
    0.88
     punishments
    0.85
     consequences
    0.84
     headache
    0.83
     exacerb
    0.82
     acute
    0.82
     undermin
    0.81
    Activations Density 0.011%

    No Known Activations