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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. 5590
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    Explanations

    references to permissions or regulations related to various activities, such as using facilities or raising funds

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with resource allocation and usage

    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
    mble
    -0.62
    jah
    -0.59
    reat
    -0.57
    APTER
    -0.57
     Lovely
    -0.54
     fame
    -0.54
    risome
    -0.54
     Hacker
    -0.52
     Spending
    -0.51
    /?
    -0.50
    POSITIVE LOGITS
     differently
    1.16
     anonymously
    1.14
     independently
    1.05
     separately
    1.03
     lawfully
    1.00
     electronically
    1.00
     concurrently
    0.98
     remotely
    0.97
     responsibly
    0.95
     directly
    0.93
    Activations Density 0.603%

    No Known Activations