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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. 6-RES-JB
    11. 24425
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    Explanations

    phrases related to law enforcement activities and incidents

    oai_token-act-pair · gpt-3.5-turbo

    mentions of police officers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DAY
    -0.87
    tera
    -0.75
    hof
    -0.73
    Shock
    -0.72
    izons
    -0.71
    hered
    -0.71
    hend
    -0.68
    Deal
    -0.67
    iens
    -0.67
    Tour
    -0.65
    POSITIVE LOGITS
     officers
    1.09
     stationed
    1.05
     officer
    1.00
    utenant
    0.92
     patrolling
    0.89
     tasked
    0.83
     Officers
    0.83
     deployed
    0.81
     corps
    0.76
     handcuffed
    0.76
    Activations Density 0.045%

    No Known Activations