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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. 8-RES-JB
    11. 17259
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    Explanations

    details of physical injuries or wounds

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to violent injuries and medical emergencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -1.12
     schedules
    -0.75
     bandwagon
    -0.74
    soType
    -0.71
    arenthood
    -0.71
    Climate
    -0.70
     petitions
    -0.70
    wcsstore
    -0.68
    adium
    -0.68
    DragonMagazine
    -0.68
    POSITIVE LOGITS
     wounds
    1.20
     gunshot
    1.17
    rapnel
    1.08
     bruises
    1.06
     injuries
    1.00
     amput
    1.00
     wounding
    0.99
     inflicted
    0.95
     abdomen
    0.91
     wound
    0.89
    Activations Density 0.321%

    No Known Activations