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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. 3-RES-JB
    11. 15613
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    Explanations

    phrases related to focusing on specific issues or elements

    oai_token-act-pair · gpt-3.5-turbo

    references to issues or problems in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ornings
    -0.70
    é¾įå¥ij士
    -0.56
    iland
    -0.55
    enture
    -0.53
    zan
    -0.52
    unte
    -0.51
     Canaveral
    -0.51
    ivic
    -0.50
    zbek
    -0.49
    Lago
    -0.49
    POSITIVE LOGITS
    liest
    0.76
    hest
    0.72
    iest
    0.66
     itself
    0.62
     portion
    0.60
     Brewers
    0.54
     fielder
    0.53
     question
    0.52
     tremend
    0.50
     Pirates
    0.50
    Activations Density 3.546%

    No Known Activations