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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. 15465
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    verbs related to the completion of tasks or projects

    oai_token-act-pair · gpt-3.5-turbo

    terms related to project completion

    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
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    Negative Logits
    ãħĭ
    -0.71
    olson
    -0.70
    corn
    -0.67
    uli
    -0.65
    Ranked
    -0.64
    ung
    -0.64
    oras
    -0.63
    opers
    -0.63
    spr
    -0.63
    maid
    -0.63
    POSITIVE LOGITS
    teness
    1.01
    issance
    0.96
    bred
    0.79
     completion
    0.68
     Completed
    0.66
    rehensive
    0.65
    xit
    0.64
    displayText
    0.64
     fabrication
    0.63
    cies
    0.63
    Activations Density 0.051%

    No Known Activations