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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. 0-RES-JB
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    Explanations

    words related to taste or smelling

    oai_token-act-pair · gpt-3.5-turbo

    words related to tasting and sensory experiences with food and beverages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cha
    -0.63
    itans
    -0.63
     politic
    -0.62
    ime
    -0.61
    ress
    -0.60
     cele
    -0.60
    Sup
    -0.59
     Raider
    -0.58
     Gamergate
    -0.58
     civilian
    -0.58
    POSITIVE LOGITS
     tasting
    3.94
     smelling
    2.17
     tasted
    1.85
     Taste
    1.32
     tast
    1.32
     smelled
    1.25
     fermentation
    0.96
     sounding
    0.96
     taste
    0.92
     flavored
    0.90
    Activations Density 0.017%

    No Known Activations