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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
    11. 15284
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    Explanations

    food items, specifically chips

    oai_token-act-pair · gpt-3.5-turbo

    references to "chips," particularly in various contexts or applications

    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
     Camden
    -0.73
     Scandinavian
    -0.72
     Nordic
    -0.72
    Operation
    -0.70
     Canal
    -0.69
     gearing
    -0.66
     forc
    -0.65
     Hills
    -0.64
     Ecology
    -0.63
     Scandinav
    -0.61
    POSITIVE LOGITS
    otle
    1.24
    ets
    1.13
    ervatives
    1.10
    pots
    1.07
    creen
    1.05
     chips
    1.00
    cream
    1.00
     flakes
    1.00
    mas
    0.98
    ervative
    0.97
    Activations Density 0.016%

    No Known Activations