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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. 5-RES-JB
    6. 22711
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    INDEX
    Explanations

    distances and measurements indicated in kilometers, miles, feet, and meters

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to distances and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiName
    -0.97
    edIn
    -0.76
    resso
    -0.72
    ernaut
    -0.68
    ():
    -0.65
    ritch
    -0.64
    quished
    -0.63
    estro
    -0.62
    ernel
    -0.60
    drive
    -0.60
    POSITIVE LOGITS
    ),"
    1.29
    )
    1.16
    )."
    1.15
    ),
    1.15
    %)
    1.14
    )"
    1.10
    )=
    1.10
    ).[
    1.08
    ).
    1.07
    %).
    1.07
    Activations Density 0.199%

    No Known Activations