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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. 11-RES-JB
    11. 5313
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    Explanations

    words related to financial terms and market activities

    oai_token-act-pair · gpt-3.5-turbo

    topics related to conflict and competition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     reasoned
    -0.75
    Had
    -0.72
     Added
    -0.69
     Provided
    -0.67
    ighed
    -0.66
    quartered
    -0.65
     hoped
    -0.63
    ,,,,,,,,
    -0.62
     OWN
    -0.62
     doubted
    -0.61
    POSITIVE LOGITS
     becomes
    1.72
     emerges
    1.69
     begins
    1.69
     fades
    1.67
     disappears
    1.66
     explodes
    1.65
     develops
    1.65
     evolves
    1.64
     unfolds
    1.64
     arrives
    1.62
    Activations Density 0.547%

    No Known Activations