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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. 9-RES-JB
    6. 3948
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    Explanations

    phrases related to specific events or activities happening during a particular time period

    oai_token-act-pair · gpt-3.5-turbo

    references to events or processes occurring during specific timeframes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osponsors
    -0.65
    ographically
    -0.62
    facts
    -0.62
    fortune
    -0.62
    ById
    -0.61
    coins
    -0.58
     reused
    -0.58
     killer
    -0.58
    prints
    -0.57
    detail
    -0.57
    POSITIVE LOGITS
     period
    1.21
     periods
    1.13
     lull
    1.02
     hiatus
    0.99
    imester
    0.96
     interval
    0.93
     era
    0.93
     downtime
    0.92
    period
    0.92
     recess
    0.91
    Activations Density 0.264%

    No Known Activations