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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. 9-RES-JB
    11. 1579
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    Explanations

    expressions of gratitude or thanks

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and thanks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebted
    -0.79
    thinkable
    -0.77
    idation
    -0.70
    soDeliveryDate
    -0.70
     justifies
    -0.69
    ider
    -0.69
    IDER
    -0.67
     resembled
    -0.66
    farious
    -0.66
    ById
    -0.66
    POSITIVE LOGITS
     everyone
    0.99
     everybody
    0.90
     Almighty
    0.88
     whoever
    0.83
     commenter
    0.80
     anyone
    0.79
     Carolyn
    0.75
     those
    0.71
     reader
    0.68
     Doug
    0.68
    Activations Density 0.111%

    No Known Activations