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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. 13561
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to distributed systems and their characteristics

    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
     ABE
    -0.83
    ================
    -0.81
    chest
    -0.80
    yrim
    -0.78
     Falls
    -0.73
    occup
    -0.73
    tha
    -0.73
    obs
    -0.73
    thur
    -0.72
    tes
    -0.71
    POSITIVE LOGITS
     distributed
    1.24
     distributing
    1.09
     redistributed
    1.04
     distribute
    1.02
     distribution
    1.02
     distribut
    1.00
     ledger
    0.98
     distributions
    0.95
    ributed
    0.94
     dissemination
    0.88
    Activations Density 0.007%

    No Known Activations