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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. 3-RES-JB
    11. 148
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    Explanations

    weapons and crowd control tactics used by authorities such as tear gas, rubber bullets, and pepper spray

    oai_token-act-pair · gpt-3.5-turbo

    terms related to police crowd control measures and riot equipment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WR
    -0.80
    Travel
    -0.78
    Phase
    -0.72
    DAY
    -0.72
    Reviewer
    -0.71
    Congress
    -0.70
    æī
    -0.69
     Nath
    -0.69
    Dream
    -0.68
    ROM
    -0.68
    POSITIVE LOGITS
     grenades
    1.23
     grenade
    1.01
     barric
    0.95
     torches
    0.88
     fences
    0.84
     candles
    0.82
     munitions
    0.82
     fired
    0.82
    killed
    0.80
     shelling
    0.79
    Activations Density 0.065%

    No Known Activations