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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. 0-RES-JB
    6. 24401
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    INDEX
    Explanations

    references to sections or subsections in a document or article

    oai_token-act-pair · gpt-3.5-turbo

    specific statements or quotes related to events and actions or potential outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ogun
    -0.90
    ividual
    -0.80
    ecause
    -0.76
    mosp
    -0.75
    dayName
    -0.75
    nian
    -0.74
    ashtra
    -0.72
     ItemLevel
    -0.71
     Volunte
    -0.67
    athered
    -0.67
    POSITIVE LOGITS
     antioxid
    0.91
     corrid
    0.62
     ISI
    0.60
    âĹ¼
    0.58
    estyles
    0.58
     Rohing
    0.57
    oples
    0.57
    Balt
    0.56
     artif
    0.56
    EStream
    0.54
    Activations Density 6.180%

    No Known Activations