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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. 14712
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    Explanations

    mentions of law enforcement operations, particularly sting operations

    oai_token-act-pair · gpt-3.5-turbo

    references to sting operations and related actions

    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
    ufact
    -0.93
    iasco
    -0.72
    uni
    -0.64
    pec
    -0.62
     NCT
    -0.62
    ÄŁ
    -0.62
     Kuwait
    -0.62
     IST
    -0.61
    ãĤº
    -0.61
    ordan
    -0.61
    POSITIVE LOGITS
    rays
    1.17
    ray
    1.12
     sting
    1.03
    entially
    0.94
    ofi
    0.93
    ega
    0.91
    lers
    0.86
    Ray
    0.83
    ingly
    0.82
    pots
    0.80
    Activations Density 0.046%

    No Known Activations