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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. 2-RES-JB
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    Explanations

    mentions of criminal organizations or illegal activities related to organized crime

    oai_token-act-pair · gpt-3.5-turbo

    references to organized crime or mob-related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    éĸ
    -0.87
    ANCE
    -0.73
     Situation
    -0.69
     Wonderland
    -0.66
     Norn
    -0.65
    ______
    -0.64
    ++++++++++++++++
    -0.63
    LEASE
    -0.62
    cknowled
    -0.62
    TPPStreamerBot
    -0.61
    POSITIVE LOGITS
     mob
    1.02
     mobs
    0.92
     Mob
    0.90
    iles
    0.89
    sters
    0.86
    astic
    0.82
    bing
    0.81
    busters
    0.80
    mob
    0.80
    oby
    0.79
    Activations Density 0.006%

    No Known Activations