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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. 10-RES-JB
    11. 14088
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    Explanations

    phrases related to handling operations and events, especially in a technical context

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to asynchronous programming and event handling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     stature
    -0.78
     Caucas
    -0.77
    amiya
    -0.76
    brand
    -0.72
     underest
    -0.71
     Upton
    -0.71
    gage
    -0.71
    bold
    -0.70
     Monteneg
    -0.70
    gypt
    -0.70
    POSITIVE LOGITS
     asynchronous
    1.49
     callback
    1.45
    ynchron
    1.36
     async
    1.35
    Async
    1.32
    Queue
    1.26
     synchron
    1.25
     handler
    1.25
    callback
    1.24
    Callback
    1.24
    Activations Density 0.301%

    No Known Activations