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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. 6-RES-JB
    6. 21259
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    Explanations

    phrases related to official documents or announcements

    oai_token-act-pair · gpt-3.5-turbo

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    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
     Seym
    -0.67
    resso
    -0.65
     Rossi
    -0.65
    rete
    -0.63
    estation
    -0.63
    est
    -0.62
     Archangel
    -0.61
     Argon
    -0.61
    req
    -0.60
     unfocusedRange
    -0.60
    POSITIVE LOGITS
    ously
    0.83
    baum
    0.78
    ous
    0.77
    backer
    0.76
    olls
    0.75
    aceae
    0.75
    oster
    0.75
    osity
    0.73
    FORE
    0.71
    TAIN
    0.71
    Activations Density 0.061%

    No Known Activations