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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. 2-RES-JB
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    Explanations

    medical terms related to malignant conditions

    oai_token-act-pair · gpt-3.5-turbo

    the term "mal" followed by various contexts of negative or harmful implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BOOK
    -0.76
     Carbuncle
    -0.73
    æĸ¹
    -0.73
     FACE
    -0.70
     Authorization
    -0.70
    DragonMagazine
    -0.69
    hetti
    -0.68
     Hobby
    -0.68
     Annotations
    -0.68
     Continued
    -0.68
    POSITIVE LOGITS
     mal
    1.04
    colm
    1.01
    ignant
    0.97
    adies
    0.97
    icious
    0.88
    practice
    0.86
    formed
    0.83
    akia
    0.82
    ady
    0.79
    pher
    0.79
    Activations Density 0.005%

    No Known Activations