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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. 11-RES-JB
    11. 7449
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    Explanations

    phrases related to nutrition and food sources

    oai_token-act-pair · gpt-3.5-turbo

    connections between environmental factors and food resource management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TeX
    -0.84
    DCS
    -0.79
    igmat
    -0.78
     Broadway
    -0.75
    isSpecialOrderable
    -0.73
     Bridges
    -0.73
     NCT
    -0.72
     attribution
    -0.71
     Gothic
    -0.71
     Investigator
    -0.69
    POSITIVE LOGITS
     nour
    1.49
     starve
    1.42
     nutritious
    1.37
     nutrients
    1.37
     starving
    1.33
     nutrit
    1.32
     starved
    1.29
     nutrient
    1.27
     nutrition
    1.25
     starvation
    1.24
    Activations Density 0.675%

    No Known Activations