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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. 11197
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    Explanations

    words related to law enforcement and police activities

    oai_token-act-pair · gpt-3.5-turbo

    references to law enforcement and police activities

    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
    vironment
    -0.83
    Leary
    -0.78
    âĶĢâĶĢâĶĢâĶĢ
    -0.77
     Whitney
    -0.74
    nesota
    -0.73
     McKay
    -0.72
    igible
    -0.71
     Lear
    -0.70
    ochond
    -0.69
    ãĥ´
    -0.68
    POSITIVE LOGITS
     crackdown
    0.93
     officers
    0.93
     raided
    0.91
     detained
    0.90
     checkpoints
    0.88
     clashed
    0.85
     stationed
    0.84
     clamp
    0.83
     escorted
    0.82
     stormed
    0.82
    Activations Density 0.141%

    No Known Activations