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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. 12-RES-JB
    11. 5039
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    Explanations

    phrases related to military conflicts and controversial political actions

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    phrases related to weapons of mass destruction

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Guest
    -0.74
    comings
    -0.61
     Tips
    -0.61
    cil
    -0.61
    sticks
    -0.61
     Guests
    -0.60
    members
    -0.60
     Trad
    -0.60
    rants
    -0.59
    akura
    -0.58
    POSITIVE LOGITS
     destruction
    1.20
     annihilation
    1.03
     mass
    0.95
     devastation
    0.94
     conquest
    0.88
     distraction
    0.85
     Destruction
    0.85
     choice
    0.82
     persuasion
    0.80
     extermination
    0.80
    Activations Density 0.079%

    No Known Activations