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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. 0-RES-JB
    11. 15580
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    Explanations

    mentions of designers or people working in design-related fields

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various types of designers in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Merit
    -0.73
    atum
    -0.69
    EStreamFrame
    -0.69
    Percent
    -0.65
    zb
    -0.65
     reconc
    -0.64
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.64
     Cum
    -0.63
    inging
    -0.62
    aban
    -0.62
    POSITIVE LOGITS
     designer
    3.81
     designers
    3.00
     Designer
    2.95
     design
    1.78
    Design
    1.75
     architect
    1.68
     Design
    1.67
     programmer
    1.67
    design
    1.66
     planner
    1.65
    Activations Density 0.015%

    No Known Activations