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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. 11-RES-JB
    11. 5880
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    INDEX
    Explanations

    numerical sequences

    oai_token-act-pair · gpt-3.5-turbo

    references to instructions and processes that are broken down into steps

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ»
    -0.78
    ãĤª
    -0.76
    ãģ®å®
    -0.75
    olina
    -0.75
    ldom
    -0.75
    aii
    -0.74
     Ober
    -0.74
    ORED
    -0.73
     Daniels
    -0.72
    onom
    -0.71
    POSITIVE LOGITS
     Step
    2.29
    Step
    2.23
    step
    2.15
     step
    2.10
     STEP
    2.09
     steps
    1.77
     Steps
    1.75
    steps
    1.72
    STEP
    1.68
     Stephens
    1.64
    Activations Density 0.127%

    No Known Activations