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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. 4-RES-JB
    11. 4524
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    Explanations

    mentions of the word "rum" with varying levels of activation

    oai_token-act-pair · gpt-3.5-turbo

    references to alcoholic beverages, particularly rum

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

    No Comments

    Negative Logits
    lihood
    -0.90
     Parenthood
    -0.83
    KI
    -0.69
     Egyptians
    -0.68
    Merit
    -0.65
     Kut
    -0.63
     Universities
    -0.63
     humans
    -0.62
     Cancel
    -0.62
     Occupations
    -0.61
    POSITIVE LOGITS
     rum
    1.11
    inating
    1.02
    oured
    1.02
    ble
    0.93
    pled
    0.89
    inate
    0.87
    atis
    0.86
    inatory
    0.85
     bour
    0.85
    uel
    0.85
    Activations Density 0.007%

    No Known Activations