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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 23199
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    INDEX
    Explanations

    patterns related to sports matches, teams, and player statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical representations and classifications in the context of sports statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiName
    -1.07
    byss
    -0.75
    etheless
    -0.75
    [/
    -0.70
    ogly
    -0.68
    oras
    -0.68
    resso
    -0.68
    devices
    -0.66
    otine
    -0.66
    uno
    -0.66
    POSITIVE LOGITS
    ):
    1.56
    )
    1.54
    )"
    1.51
    ),
    1.46
    ),"
    1.40
    )—
    1.34
    !)
    1.33
    ?)
    1.32
    %)
    1.32
    )'
    1.32
    Activations Density 0.217%

    No Known Activations