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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. 9-RES-JB
    11. 17831
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    Explanations

    terms related to technical processes involving building and producing

    oai_token-act-pair · gpt-3.5-turbo

    elements related to complex processes or systems requiring significant capability and enrichment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     greeting
    -0.87
    iquette
    -0.80
     mug
    -0.79
    Sexual
    -0.78
     etiquette
    -0.73
     mans
    -0.73
    love
    -0.71
    isine
    -0.71
    gay
    -0.70
    reet
    -0.70
    POSITIVE LOGITS
     envis
    1.26
     uncertainties
    1.02
     redundancy
    1.01
     redund
    0.97
    ufact
    0.94
     contingency
    0.94
     OEM
    0.91
     foreseeable
    0.91
     shortfall
    0.91
     feasible
    0.91
    Activations Density 1.306%

    No Known Activations