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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 23006
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    Explanations

    words related to death, tragedy, and medical contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to death and its associated consequences

    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
    soDeliveryDate
    -0.82
    soType
    -0.76
    ħĭ
    -0.75
    ãĥŃ
    -0.74
    utical
    -0.74
    wcsstore
    -0.73
    Ore
    -0.72
    actionDate
    -0.72
    eret
    -0.72
    lator
    -0.71
    POSITIVE LOGITS
     inquest
    0.87
     autopsy
    0.84
     coroner
    0.82
     unborn
    0.78
     Canaver
    0.78
     gunshot
    0.77
     overdose
    0.76
     ransom
    0.75
    mur
    0.74
     overdoses
    0.73
    Activations Density 0.473%

    No Known Activations