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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. 8-RES-JB
    11. 7210
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    Explanations

    numerical counts of people involved in various events

    oai_token-act-pair · gpt-3.5-turbo

    references to casualties and fatalities in events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tnc
    -0.80
     Parables
    -0.73
    \/\/
    -0.67
     Sturgeon
    -0.66
     Grind
    -0.64
    eming
    -0.64
    catentry
    -0.64
    Tea
    -0.64
     Mouth
    -0.64
    inventoryQuantity
    -0.63
    POSITIVE LOGITS
     injured
    1.08
     detained
    1.06
     arrested
    0.96
     boarded
    0.94
     suspected
    0.91
     hospitalized
    0.91
     indicted
    0.91
     smugglers
    0.91
     accused
    0.88
     acquitted
    0.87
    Activations Density 0.090%

    No Known Activations