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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. 4-RES-JB
    11. 13256
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    Explanations

    keywords related to data visualization, such as "visualization," "graph," "infographic," and "chart."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to visual data representation

    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
     attendants
    -0.69
     rites
    -0.67
    hood
    -0.66
     trib
    -0.64
     Idol
    -0.64
     Practices
    -0.64
    ê
    -0.62
     intermedi
    -0.61
     revocation
    -0.59
    vo
    -0.59
    POSITIVE LOGITS
     infographic
    1.04
     illustrating
    0.99
     grap
    0.92
     graphs
    0.89
     diagram
    0.87
     visualization
    0.87
     chart
    0.87
    Figure
    0.86
     charts
    0.85
     illustration
    0.83
    Activations Density 0.075%

    No Known Activations