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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21905
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    INDEX
    Explanations

    adjectives related to physical appearance and material texture

    oai_token-act-pair · gpt-3.5-turbo

    attributes related to visual appearance and texture

    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
    taboola
    -0.84
    Reloaded
    -0.80
    BRE
    -0.80
    soDeliveryDate
    -0.79
    channelAvailability
    -0.79
    quickShipAvailable
    -0.77
    rosso
    -0.77
    cedented
    -0.76
    ItemImage
    -0.75
    deal
    -0.74
    POSITIVE LOGITS
     flesh
    1.05
     plastic
    1.04
     outline
    1.03
     underside
    1.02
     silhouette
    1.01
     asphalt
    1.00
     white
    0.97
     flakes
    0.96
     granite
    0.95
     orange
    0.95
    Activations Density 0.182%

    No Known Activations