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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. 20427
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    Explanations

    descriptions of different scents and smells

    oai_token-act-pair · gpt-3.5-turbo

    sensory descriptions related to smell

    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
    Not in Any Lists

    No Comments

    Negative Logits
    rollers
    -0.83
    lisher
    -0.76
    BILL
    -0.76
    \">
    -0.75
    Reviewer
    -0.75
    uthor
    -0.74
    ibling
    -0.73
    Parent
    -0.72
    Wide
    -0.72
    Fund
    -0.72
    POSITIVE LOGITS
     sulph
    1.12
     champagne
    1.01
     sulfur
    0.98
     ammonia
    0.95
     chlorine
    0.94
     vodka
    0.93
     perfume
    0.93
     wine
    0.92
     chemicals
    0.92
     powder
    0.90
    Activations Density 0.307%

    No Known Activations