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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. 6-RES-JB
    11. 777
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    Explanations

    mentions of emergency situations

    oai_token-act-pair · gpt-3.5-turbo

    references to emergency situations or responses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    artisan
    -0.88
    gemony
    -0.85
    Ģ
    -0.83
    ongyang
    -0.82
    achu
    -0.82
    creen
    -0.80
    ¿½
    -0.80
    nan
    -0.79
    hran
    -0.79
    vich
    -0.77
    POSITIVE LOGITS
     evacuation
    0.93
     responders
    0.93
     emergency
    0.87
     brake
    0.84
     surge
    0.83
     evacuate
    0.80
     situation
    0.80
     relief
    0.80
     rescue
    0.79
     response
    0.79
    Activations Density 0.032%

    No Known Activations