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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. 7-RES-JB
    11. 14077
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    Explanations

    names containing the substring "n" followed by a number (such as "n9")

    oai_token-act-pair · gpt-3.5-turbo

    the letter 'n' scattered throughout the text

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    xual
    -0.74
     welf
    -0.61
     caution
    -0.61
     unsupported
    -0.59
     compe
    -0.58
     hypot
    -0.58
    avorite
    -0.57
     otherwise
    -0.57
     Ãľ
    -0.56
     hust
    -0.54
    POSITIVE LOGITS
    uggets
    1.20
    ovation
    1.13
    orthern
    1.08
    aturally
    1.08
    ihil
    1.07
    umerous
    1.06
    onsense
    1.06
    ucle
    1.03
    imble
    1.01
    aughty
    0.99
    Activations Density 0.045%

    No Known Activations