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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. 21340
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    INDEX
    Explanations

    phrases related to toxicology and medical terminology

    oai_token-act-pair · gpt-3.5-turbo

    the word "to" in various contexts

    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
    iHUD
    -0.81
    mble
    -0.69
     resemb
    -0.67
     exceptions
    -0.66
    soDeliveryDate
    -0.66
     appropri
    -0.64
     interests
    -0.63
    busters
    -0.63
     leases
    -0.62
    ancies
    -0.62
    POSITIVE LOGITS
    ilet
    1.47
    ffee
    1.00
    pping
    1.00
    pped
    0.99
    oth
    0.98
    ppers
    0.95
    othy
    0.92
    pper
    0.91
    ques
    0.85
    ppo
    0.84
    Activations Density 0.042%

    No Known Activations