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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. 16878
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    Explanations

    phrases related to law enforcement activities involving a SWAT team

    oai_token-act-pair · gpt-3.5-turbo

    terms related to law enforcement and military units

    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
     Mits
    -0.70
    living
    -0.67
     Franken
    -0.65
    lived
    -0.64
    birth
    -0.63
    reviewed
    -0.63
    iments
    -0.61
     Unt
    -0.61
    ãĥĩãĤ£
    -0.61
    south
    -0.60
    POSITIVE LOGITS
     SWAT
    0.91
    ELY
    0.78
     Officers
    0.75
     squads
    0.72
    ilitary
    0.72
     SEAL
    0.70
     departments
    0.70
     Teams
    0.70
     raids
    0.68
    APE
    0.68
    Activations Density 0.009%

    No Known Activations