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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. 10200
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    Explanations

    phrases related to violence and conflict

    oai_token-act-pair · gpt-3.5-turbo

    references to violence and crimes against humanity

    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
    ellar
    -0.85
    igmatic
    -0.72
    uber
    -0.70
     navig
    -0.70
    inventoryQuantity
    -0.66
    ube
    -0.64
    itte
    -0.64
     plugged
    -0.63
     Moder
    -0.61
    redo
    -0.60
    POSITIVE LOGITS
    ocaust
    1.00
     spree
    0.91
    houses
    0.86
     perpetrated
    0.86
     inflicted
    0.81
     indiscrim
    0.79
     tactics
    0.77
     Rohingya
    0.73
     methods
    0.71
     rampage
    0.71
    Activations Density 0.266%

    No Known Activations