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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. 17703
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    Explanations

    terms related to growth, increase, or development

    oai_token-act-pair · gpt-3.5-turbo

    quantifiable trends related to growth or increase in various contexts

    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
    racuse
    -0.68
    peria
    -0.67
    phies
    -0.64
    çīĪ
    -0.64
     Closing
    -0.64
    gdala
    -0.62
    claimer
    -0.62
    tein
    -0.61
    shared
    -0.61
    oning
    -0.61
    POSITIVE LOGITS
     steadily
    1.04
     rapidly
    0.98
     inex
    0.89
     slowly
    0.83
     faster
    0.82
     slower
    0.81
     dangerously
    0.79
     pains
    0.79
     Slowly
    0.78
    lass
    0.75
    Activations Density 0.248%

    No Known Activations