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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. 10735
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    Explanations

    dates and events

    oai_token-act-pair · gpt-3.5-turbo

    specific years and dates

    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
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    No Comments

    Negative Logits
    ä¸Ĭ
    -0.58
    Ͻ
    -0.57
    thood
    -0.53
    âĶĢâĶĢâĶĢâĶĢ
    -0.52
    stairs
    -0.52
    ãĢ
    -0.49
    «
    -0.49
    ĺħ
    -0.49
    iless
    -0.48
     fucking
    -0.48
    POSITIVE LOGITS
    razil
    0.65
    ascript
    0.63
    bleacher
    0.62
     cryptoc
    0.58
     Flavoring
    0.57
    TPPStreamerBot
    0.55
     Simulator
    0.52
    isp
    0.52
    OIL
    0.52
    epad
    0.52
    Activations Density 1.836%

    No Known Activations