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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. 9-RES-JB
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    Explanations

    references to violent acts involving gunmen

    oai_token-act-pair · gpt-3.5-turbo

    references to gunmen and shooters in violent incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Balt
    -0.74
    Champ
    -0.70
     Citiz
    -0.70
    umph
    -0.67
    cess
    -0.66
    zl
    -0.65
    interest
    -0.64
    Sense
    -0.63
    pathy
    -0.62
    arist
    -0.61
    POSITIVE LOGITS
    hunt
    0.89
     assailant
    0.87
     detonated
    0.87
     assailants
    0.83
     wielding
    0.82
     attacker
    0.80
     gunman
    0.79
     attackers
    0.79
     kidn
    0.78
     gunmen
    0.78
    Activations Density 0.110%

    No Known Activations