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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. 19303
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    Explanations

    references to criminal activities or organized crime, particularly related to illegal activities involving a group or "mob."

    oai_token-act-pair · gpt-3.5-turbo

    references to organized crime or mob-related themes

    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
    éĸ
    -0.90
    ANCE
    -0.81
     Excellence
    -0.72
    ational
    -0.71
    neath
    -0.71
    ++++++++++++++++
    -0.70
     Tire
    -0.68
     Conditions
    -0.67
     Quality
    -0.66
     Norn
    -0.65
    POSITIVE LOGITS
    sters
    1.07
    busters
    0.96
    ographed
    0.96
    iles
    0.95
    bing
    0.92
    ster
    0.90
    olean
    0.88
    ipl
    0.86
    ograph
    0.84
    ilies
    0.84
    Activations Density 0.023%

    No Known Activations