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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
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    Explanations

    references to criminal activities and organized crime, specifically related to the mob

    oai_token-act-pair · gpt-3.5-turbo

    references to organized crime, particularly the mob

    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
    éĸ
    -0.89
    ANCE
    -0.75
     Wonderland
    -0.70
    ++++++++++++++++
    -0.68
    ______
    -0.68
     Situation
    -0.67
     Tire
    -0.66
     Excellence
    -0.65
    neath
    -0.65
    tenance
    -0.63
    POSITIVE LOGITS
    iles
    0.87
    oly
    0.86
    astic
    0.85
    sters
    0.85
    bing
    0.83
    iliar
    0.83
     mob
    0.82
     mobs
    0.82
    ipl
    0.80
    ographed
    0.80
    Activations Density 0.009%

    No Known Activations