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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. 6-RES-JB
    11. 3628
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    Explanations

    references to curves, particularly in the context of being ahead or behind the curve

    oai_token-act-pair · gpt-3.5-turbo

    terms related to curves, particularly in contexts concerning trends or data analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alty
    -0.73
    oral
    -0.73
    ynski
    -0.70
    OND
    -0.69
     HAL
    -0.69
     WATCHED
    -0.66
     istg
    -0.66
     Universal
    -0.65
    rongh
    -0.64
    orical
    -0.64
    POSITIVE LOGITS
    balls
    1.14
     curve
    0.98
    ball
    0.95
     slope
    0.90
     curv
    0.88
     curves
    0.88
    atism
    0.87
     Curve
    0.86
    gradient
    0.86
    kered
    0.79
    Activations Density 0.023%

    No Known Activations