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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. 6494
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    Explanations

    pharmaceutical companies and drug names

    oai_token-act-pair · gpt-3.5-turbo

    references to brands and companies, particularly in the pharmaceutical and automotive industries

    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
    obin
    -0.71
     Subjects
    -0.69
     Cind
    -0.64
    oids
    -0.63
     Chong
    -0.63
    inges
    -0.62
     Naw
    -0.61
     Julio
    -0.61
    м
    -0.61
     Corm
    -0.60
    POSITIVE LOGITS
    Cola
    1.01
    conn
    0.97
    Benz
    0.91
     Corporation
    0.84
     exec
    0.81
     Stores
    0.79
     Electronics
    0.77
     Publishing
    0.77
     executive
    0.73
     Industries
    0.72
    Activations Density 0.180%

    No Known Activations