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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. 11-RES-JB
    11. 9274
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    Explanations

    reports of receiving various types of information, such as calls, alerts, emails, tips, complaints, or intelligence

    oai_token-act-pair · gpt-3.5-turbo

    instances of information being received or reported

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     presided
    -0.65
    toc
    -0.64
    ouf
    -0.63
    tein
    -0.63
     Cure
    -0.62
    conserv
    -0.61
     spared
    -0.61
    raint
    -0.60
    anamo
    -0.60
     muscles
    -0.60
    POSITIVE LOGITS
     inquiries
    1.16
     emails
    1.16
     notification
    1.10
     email
    1.08
     requests
    1.05
     complaints
    1.04
     calls
    1.01
     queries
    1.00
     phone
    0.99
    mails
    0.98
    Activations Density 0.182%

    No Known Activations