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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. 8-RES-JB
    11. 2376
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    Explanations

    dates and structured data formats

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to historical events or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    é¾
    -0.65
    ="/
    -0.65
    ebin
    -0.60
     Boll
    -0.59
     VG
    -0.58
    è¦ļéĨĴ
    -0.57
    Accessory
    -0.57
     firewall
    -0.56
     traveller
    -0.55
     APP
    -0.55
    POSITIVE LOGITS
    âĶĢâĶĢâĶĢâĶĢ
    1.01
    owship
    0.66
    Jesus
    0.61
    Synopsis
    0.59
     experien
    0.58
     Redemption
    0.57
    gradation
    0.56
    anqu
    0.56
    areth
    0.55
     Osw
    0.55
    Activations Density 0.063%

    No Known Activations