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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 9164
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    Explanations

    mentions of laboratory settings or institutions

    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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atra
    -0.77
    Torrent
    -0.75
    adding
    -0.69
    atar
    -0.68
    Vote
    -0.68
    hua
    -0.67
    meet
    -0.67
    clus
    -0.65
    pend
    -0.64
    fw
    -0.64
    POSITIVE LOGITS
     laboratory
    1.10
    rador
    1.08
     Laboratory
    1.03
     laboratories
    0.98
     Laboratories
    0.93
     chemist
    0.92
     technician
    0.91
    opath
    0.88
    ysis
    0.85
     labs
    0.82
    Activations Density 0.013%

    No Known Activations