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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. 3715
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    Explanations

    phrases related to law enforcement and border control

    oai_token-act-pair · gpt-3.5-turbo

    references to the Border Patrol and its associated activities

    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
    ãĤ¨ãĥ«
    -0.85
    iple
    -0.79
     Marketable
    -0.73
    series
    -0.73
    ãĥŀ
    -0.65
    jad
    -0.65
    wcs
    -0.65
    vill
    -0.65
    slice
    -0.64
    cipled
    -0.63
    POSITIVE LOGITS
     Patrol
    0.93
    istan
    0.87
     checkpoint
    0.82
     Enforcement
    0.81
     checkpoints
    0.80
     Firearms
    0.78
     Administration
    0.76
     Oversight
    0.74
     Traff
    0.73
     enforcement
    0.73
    Activations Density 0.034%

    No Known Activations