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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. 18337
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    Explanations

    keywords related to laboratory settings and experiments

    oai_token-act-pair · gpt-3.5-turbo

    mentions of laboratories

    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
    Vote
    -0.80
    cut
    -0.74
    atra
    -0.73
    rising
    -0.70
    CHAT
    -0.68
    generic
    -0.68
    emption
    -0.67
    Torrent
    -0.67
    pend
    -0.65
    qual
    -0.64
    POSITIVE LOGITS
    rador
    1.17
     laboratory
    0.96
     laboratories
    0.91
     labs
    0.91
     chemist
    0.89
    ysis
    0.87
    chem
    0.87
     Laboratory
    0.84
     microbi
    0.82
     technician
    0.82
    Activations Density 0.032%

    No Known Activations