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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. 10-RES-JB
    6. 22639
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    Explanations

    phrases related to law enforcement, protests, and armed conflicts

    oai_token-act-pair · gpt-3.5-turbo

    references to police and military actions, particularly those involving crowd control and weaponry

    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
    erest
    -0.82
    izens
    -0.78
    Disney
    -0.76
    ittal
    -0.74
    iverse
    -0.72
    */(
    -0.70
    arenthood
    -0.70
    iquid
    -0.70
     (<
    -0.70
    izen
    -0.69
    POSITIVE LOGITS
     grenades
    1.63
     rifles
    1.50
     explosives
    1.50
     shotguns
    1.46
     knives
    1.44
     pistols
    1.43
     gunfire
    1.43
     torches
    1.42
     snipers
    1.37
     guns
    1.36
    Activations Density 0.315%

    No Known Activations