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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. 9-RES-JB
    11. 13626
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    references to identification documents

    oai_token-act-pair · gpt-3.5-turbo

    references to identification documents and IDs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    iful
    -0.77
    theless
    -0.71
    terday
    -0.70
    unin
    -0.68
    bilt
    -0.65
     Siem
    -0.65
     Silence
    -0.65
     Reverend
    -0.65
    rely
    -0.64
    sei
    -0.64
    POSITIVE LOGITS
    iots
    1.09
    aho
    1.04
    ENT
    0.94
    irect
    0.93
    entity
    0.92
    ictionary
    0.92
    EA
    0.92
    DEN
    0.89
     cards
    0.87
    ocument
    0.85
    Activations Density 0.032%

    No Known Activations