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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. 7-RES-JB
    11. 2896
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    Explanations

    phrases related to law enforcement activities such as detaining and arresting suspects

    oai_token-act-pair · gpt-3.5-turbo

    terms related to detainment and arrest

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.79
    itsch
    -0.74
    alter
    -0.71
    soType
    -0.71
    gaard
    -0.70
    terness
    -0.69
    ãĥ´ãĤ¡
    -0.69
    £ı
    -0.67
    fax
    -0.67
    POST
    -0.66
    POSITIVE LOGITS
     him
    1.03
     whoever
    0.95
     individuals
    0.94
     anyone
    0.94
     civilians
    0.94
     foreigners
    0.94
     inmates
    0.92
     someone
    0.91
     suspects
    0.90
     prisoners
    0.89
    Activations Density 0.270%

    No Known Activations