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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. 12707
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    INDEX
    Explanations

    references to origins or historical starting points

    oai_token-act-pair · gpt-3.5-turbo

    references to ancestry or origins

    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
    itored
    -0.67
    ventory
    -0.65
    Alert
    -0.65
    erson
    -0.65
    catentry
    -0.65
    option
    -0.64
    artment
    -0.64
    ovie
    -0.64
     investig
    -0.63
    hire
    -0.62
    POSITIVE LOGITS
     roots
    4.15
    roots
    2.82
     Roots
    2.68
     origins
    2.09
     root
    2.02
     beginnings
    1.63
     rooted
    1.53
    root
    1.52
    Root
    1.50
     Root
    1.44
    Activations Density 0.023%

    No Known Activations