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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. 0-RES-JB
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    Explanations

    specific mentions or references to weapons

    oai_token-act-pair · gpt-3.5-turbo

    references to weapons and their implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    flow
    -0.71
     Oprah
    -0.71
    arton
    -0.67
    Row
    -0.67
    Portland
    -0.66
    Rober
    -0.66
    oos
    -0.65
    astics
    -0.65
     Newport
    -0.65
     Amsterdam
    -0.64
    POSITIVE LOGITS
     weapon
    3.52
    weapon
    2.84
     weapons
    2.58
     Weapon
    2.46
    Weapon
    2.31
    weapons
    2.15
     Weapons
    2.12
     weaponry
    2.08
    Weapons
    2.06
     firearm
    1.90
    Activations Density 0.020%

    No Known Activations