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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. 4-RES-JB
    6. 23186
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    Explanations

    words related to gardening or tools

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "gro" and its variations, indicating a focus on themes of growth or development

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

    No Comments

    Negative Logits
    UAL
    -0.84
     PowerPoint
    -0.69
     HK
    -0.69
    ICT
    -0.69
     Avenger
    -0.68
     Sons
    -0.68
    HK
    -0.66
     IOC
    -0.66
     Barcl
    -0.65
    ividual
    -0.64
    POSITIVE LOGITS
    ovy
    1.09
    oved
    1.01
    tty
    1.00
    inder
    0.99
    ands
    0.98
    aning
    0.95
    oving
    0.93
    aking
    0.93
    anding
    0.93
    inding
    0.92
    Activations Density 0.010%

    No Known Activations