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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. 7-RES-JB
    11. 15352
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    Explanations

    time-related references indicating deadlines or endpoints

    oai_token-act-pair · gpt-3.5-turbo

    references to timelines or deadlines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reviewer
    -0.71
    ially
    -0.65
    webkit
    -0.64
     overest
    -0.63
     Cosponsors
    -0.62
    irs
    -0.61
    ettel
    -0.61
    alogy
    -0.61
    anan
    -0.59
     inherit
    -0.58
    POSITIVE LOGITS
     hostilities
    0.85
     reckoning
    0.72
    spection
    0.71
     nowhere
    0.69
     rope
    0.68
     Ramadan
    0.67
    retch
    0.66
     gestation
    0.66
    ventory
    0.66
     session
    0.65
    Activations Density 0.054%

    No Known Activations