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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. 10-RES-JB
    11. 12244
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    Explanations

    words related to causing harm or damage

    oai_token-act-pair · gpt-3.5-turbo

    references to causing damage or harm

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ellen
    -0.87
    soDeliveryDate
    -0.77
     Monitor
    -0.71
     Sche
    -0.70
     Collider
    -0.69
    Display
    -0.68
    uart
    -0.66
    register
    -0.65
     Cosponsors
    -0.65
    artist
    -0.64
    POSITIVE LOGITS
     damage
    1.49
     havoc
    1.40
    damage
    1.26
     harm
    1.25
     mayhem
    1.14
     untold
    1.12
     blows
    1.11
     devastation
    1.10
     destruction
    1.08
     mischief
    1.08
    Activations Density 0.074%

    No Known Activations