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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 24049
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    INDEX
    Explanations

    medical conditions and drug-related information correlated with numbers or categories

    oai_token-act-pair · gpt-3.5-turbo

    references to medical conditions and classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĨãĤ£
    -0.86
    owe
    -0.70
    isman
    -0.68
    Week
    -0.67
    Sports
    -0.67
    mith
    -0.66
    rosc
    -0.65
    netflix
    -0.65
    nick
    -0.64
    follow
    -0.63
    POSITIVE LOGITS
     inhibitor
    0.87
     inhibitors
    0.85
     guiActiveUnfocused
    0.78
     Intermediate
    0.74
     attackers
    0.66
    ²¾
    0.65
     Centauri
    0.65
     defenses
    0.64
     booster
    0.63
    xual
    0.63
    Activations Density 0.087%

    No Known Activations