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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. 7-RES-JB
    6. 19059
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    Explanations

    phrases related to official documents or formal procedures

    oai_token-act-pair · gpt-3.5-turbo

    references to "Res" or "Research."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    matically
    -0.74
    aneers
    -0.69
     pound
    -0.67
     Icelandic
    -0.65
    tie
    -0.64
    \\\\\\\\\\\\\\\\
    -0.63
     Springs
    -0.62
     Cruiser
    -0.61
     CMS
    -0.61
     merger
    -0.60
    POSITIVE LOGITS
    olutions
    1.33
    idency
    1.33
    ervation
    1.32
    olve
    1.31
    erves
    1.30
    urrection
    1.26
    olver
    1.25
    earcher
    1.24
    idence
    1.21
    olves
    1.20
    Activations Density 0.013%

    No Known Activations