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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. 1-RES-JB
    11. 23120
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    Explanations

    words related to large groups or gatherings of animals or people

    oai_token-act-pair · gpt-3.5-turbo

    terms related to groups of animals or collective behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ials
    -0.72
     uranium
    -0.66
     slightest
    -0.66
    iates
    -0.66
     satell
    -0.63
    sin
    -0.63
     pencil
    -0.62
    ccording
    -0.61
    modules
    -0.61
     cryst
    -0.61
    POSITIVE LOGITS
     herd
    0.95
    stakes
    0.83
     Twain
    0.83
    ãĥ¼ãĥĨãĤ£
    0.82
     hoard
    0.77
    mail
    0.75
    á½
    0.75
    efully
    0.73
     Rampage
    0.72
     herds
    0.72
    Activations Density 0.021%

    No Known Activations