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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. 10-RES-JB
    6. 11804
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    INDEX
    Explanations

    locations within a building

    oai_token-act-pair · gpt-3.5-turbo

    locations and spaces within various settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arget
    -0.67
    omorphic
    -0.64
    nesota
    -0.62
    è¦ļéĨĴ
    -0.61
    alin
    -0.61
    merce
    -0.60
    ãĥĩ
    -0.60
    ozy
    -0.60
    osate
    -0.60
    usat
    -0.59
    POSITIVE LOGITS
     hallway
    1.15
     overlooking
    1.13
     doorway
    1.11
     restroom
    1.04
    tyard
    1.04
     downstairs
    1.03
     aisle
    1.02
     toilets
    1.01
     upstairs
    1.01
     balcony
    0.99
    Activations Density 0.176%

    No Known Activations