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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5453
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    Explanations

    technical terms related to physical objects and operations

    oai_token-act-pair · gpt-3.5-turbo

    technical terms and descriptors related to programming, engineering, and devices

    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
    hops
    -0.84
    tics
    -0.83
    rencies
    -0.81
     Occupations
    -0.80
    doms
    -0.80
     establishments
    -0.79
     Posts
    -0.78
     Vehicles
    -0.77
    urches
    -0.76
    urrencies
    -0.75
    POSITIVE LOGITS
     version
    0.88
     variant
    0.85
     component
    0.79
     identifier
    0.77
     statement
    0.76
     adjustment
    0.75
     subscription
    0.75
     lesson
    0.74
     interpreter
    0.74
     layer
    0.73
    Activations Density 0.547%

    No Known Activations