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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 8592
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    Explanations

    references to the concept of updating or being kept up to date

    oai_token-act-pair · gpt-3.5-turbo

    instances of updates or changes in information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aden
    -0.85
    á
    -0.77
    ang
    -0.76
    bors
    -0.75
    avery
    -0.74
     Berm
    -0.71
    bara
    -0.69
    bia
    -0.67
    alty
    -0.67
    acht
    -0.67
    POSITIVE LOGITS
     snapshots
    0.86
     update
    0.86
     updates
    0.82
     notifications
    0.82
     versions
    0.78
     refresh
    0.77
     snapshot
    0.77
    Attempts
    0.75
     updating
    0.74
     timestamp
    0.73
    Activations Density 0.016%

    No Known Activations