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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. 3447
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to data analysis and regulatory measures

    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
    aughs
    -0.62
    ETHOD
    -0.61
     predicament
    -0.58
    amina
    -0.58
     Solution
    -0.57
     wheelchair
    -0.57
     Circus
    -0.57
     consolation
    -0.56
     charisma
    -0.56
     ordeal
    -0.55
    POSITIVE LOGITS
     pertaining
    1.06
     relating
    0.95
     belonging
    0.92
     arising
    0.91
     related
    0.89
     ranging
    0.87
     glean
    0.86
    ourcing
    0.86
    afety
    0.85
    cape
    0.84
    Activations Density 0.452%

    No Known Activations