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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. 6-RES-JB
    11. 18741
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    Explanations

    phrases related to eating or consuming food

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to eating and food consumption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    eele
    -1.09
    orescence
    -0.79
    ciation
    -0.75
    yrinth
    -0.75
    Operation
    -0.75
    earchers
    -0.73
    ocus
    -0.72
    projects
    -0.72
    iations
    -0.71
    omaly
    -0.69
    POSITIVE LOGITS
     berries
    1.00
     meals
    0.91
     grapes
    0.90
     contaminated
    0.88
     scraps
    0.87
     nutrit
    0.86
     calories
    0.85
     juice
    0.85
     cabbage
    0.84
     crap
    0.83
    Activations Density 0.180%

    No Known Activations