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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. 13696
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    Explanations

    descriptive terms related to different scents or smells

    oai_token-act-pair · gpt-3.5-turbo

    Descriptions of smells and scents

    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
    GBT
    -0.89
    thumbnails
    -0.85
    SPONSORED
    -0.81
    ISC
    -0.80
    Attributes
    -0.79
    feature
    -0.78
    igent
    -0.78
    Enlarge
    -0.75
    äºĶ
    -0.75
    ItemImage
    -0.74
    POSITIVE LOGITS
     roses
    1.12
     freshly
    1.09
     sulfur
    1.04
     spices
    1.01
     rotting
    1.01
     sweat
    1.00
     stale
    0.99
     ozone
    0.99
     urine
    0.98
     diesel
    0.98
    Activations Density 0.168%

    No Known Activations