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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. 2-RES-JB
    6. 22926
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    INDEX
    Explanations

    mentions of situations involving peaks or high points

    oai_token-act-pair · gpt-3.5-turbo

    references to challenges or difficulties encountered in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CODE
    -0.65
    TY
    -0.64
     Reconstruction
    -0.63
     Boxing
    -0.63
     PUBLIC
    -0.62
     Antar
    -0.62
     Proposition
    -0.61
     Taliban
    -0.59
    ãĥŁ
    -0.59
     Ridley
    -0.59
    POSITIVE LOGITS
    poons
    1.30
    etting
    1.21
    uits
    1.18
    hots
    1.14
    hip
    1.11
    etter
    1.11
    ensical
    1.04
    pace
    1.04
    cale
    1.03
    uggest
    1.00
    Activations Density 0.015%

    No Known Activations