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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. 8-RES-JB
    11. 2053
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    Explanations

    phrases or sentences emphasizing a strong emotional impact, often with positive connotations

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the word "such," indicating a focus on expressing significance or intensity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ntil
    -0.99
    ©¶æ
    -0.76
     Murd
    -0.75
    doctor
    -0.74
    iliate
    -0.73
    achus
    -0.71
    iliation
    -0.70
    achev
    -0.69
    kson
    -0.69
    oil
    -0.69
    POSITIVE LOGITS
    ities
    0.75
    liness
    0.75
     mundane
    0.72
     amazing
    0.70
     wonderful
    0.70
     marvelous
    0.69
     magnificent
    0.69
     exquisite
    0.68
     phenomenal
    0.68
     incredible
    0.68
    Activations Density 0.040%

    No Known Activations