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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. 0-RES-JB
    11. 15638
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    Explanations

    words related to the environment, specifically focusing on the color green and associated concepts like energy efficiency and nature

    oai_token-act-pair · gpt-3.5-turbo

    words related to the color green

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pax
    -0.92
     Immunity
    -0.90
    alam
    -0.84
    atari
    -0.84
     Pill
    -0.83
     Hatch
    -0.82
     Catch
    -0.79
     Snap
    -0.78
    Pak
    -0.76
     Patel
    -0.75
    POSITIVE LOGITS
     gre
    2.35
    gre
    1.56
     Freder
    1.52
     Wer
    1.51
     whit
    1.34
     Gent
    1.28
     Memphis
    1.19
     Frem
    1.14
     Flor
    1.09
    Gre
    1.08
    Activations Density 0.045%

    No Known Activations