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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. 7314
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    INDEX
    Explanations

    mentions of the word "pro" within text

    oai_token-act-pair · gpt-3.5-turbo

    the word "ro" 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
     Coulter
    -0.82
     EntityItem
    -0.75
     Sons
    -0.73
    ãĥ¼ãĥĨãĤ£
    -0.71
     eminent
    -0.68
     Titanic
    -0.66
     CBI
    -0.64
     Catalyst
    -0.63
    ividual
    -0.63
     Beir
    -0.62
    POSITIVE LOGITS
    spective
    1.13
    bably
    1.08
    cks
    1.05
    ffen
    1.04
    active
    1.04
    blems
    1.03
    ffe
    1.01
    spection
    0.99
    ven
    0.98
    gyn
    0.98
    Activations Density 0.024%

    No Known Activations