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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. 8-RES-JB
    11. 2095
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    Explanations

    information related to chemical reactions and processes

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to chemical processes and their effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ISION
    -0.71
     negligence
    -0.66
     absence
    -0.65
     prohibition
    -0.65
     understatement
    -0.64
    nered
    -0.64
    endment
    -0.63
    rek
    -0.63
     tenure
    -0.62
     Doctrine
    -0.62
    POSITIVE LOGITS
     deposited
    0.93
     accumulate
    0.90
     then
    0.87
     subsequently
    0.86
     eventually
    0.85
     deposits
    0.84
     coales
    0.83
     shards
    0.83
     populate
    0.81
     wallets
    0.81
    Activations Density 0.551%

    No Known Activations