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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. 8-RES-JB
    11. 10532
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    Explanations

    percentages mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    statistical data and percentages regarding public opinion or demographics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiName
    -1.00
     ([
    -0.69
    resso
    -0.68
    Dialogue
    -0.65
    izoph
    -0.64
    foreseen
    -0.61
    sama
    -0.61
    istor
    -0.61
     ();
    -0.61
    hetti
    -0.60
    POSITIVE LOGITS
    ),"
    1.52
    ),
    1.47
    )
    1.47
    ):
    1.46
    %)
    1.42
    )=
    1.40
    )!
    1.36
    +)
    1.36
    !)
    1.35
    )"
    1.34
    Activations Density 0.172%

    No Known Activations