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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. 11-RES-JB
    6. 23339
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    Explanations

    time and schedule information related terms

    oai_token-act-pair · gpt-3.5-turbo

    time-related information and schedules

    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
    lihood
    -0.68
    é¾į
    -0.64
    BILITIES
    -0.55
     belongs
    -0.55
    portion
    -0.53
    plet
    -0.53
    conn
    -0.53
    Factor
    -0.52
    åĭ
    -0.52
     adapters
    -0.52
    POSITIVE LOGITS
     Noon
    1.39
     noon
    1.32
    noon
    1.29
     Midnight
    1.28
     midnight
    1.20
     sunset
    1.07
     dusk
    1.07
    mid
    0.96
     sunrise
    0.94
     midday
    0.93
    Activations Density 0.084%

    No Known Activations