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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 14593
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    Explanations

    mentions of blood-related terms

    oai_token-act-pair · gpt-3.5-turbo

    words that contain specific vowel patterns or sounds

    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
    BIL
    -0.78
    è¦ļéĨĴ
    -0.72
    Lago
    -0.70
    Recomm
    -0.70
     brace
    -0.63
     VIDEOS
    -0.62
     Cosponsors
    -0.62
     rapt
    -0.61
     prayers
    -0.61
     Walton
    -0.61
    POSITIVE LOGITS
    hemy
    1.13
    etooth
    0.87
    pedia
    0.75
    lein
    0.74
    Cola
    0.74
    itzer
    0.70
    ois
    0.69
    aith
    0.69
    zinski
    0.69
    imore
    0.69
    Activations Density 0.056%

    No Known Activations