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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. 8832
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    Explanations

    requests or invitations expressed as "Want" in the context of various topics such as news, technology, entertainment, and politics

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating desires or requests for information

    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
    é¾
    -0.86
    SPONSORED
    -0.85
    è¦ļéĨĴ
    -0.76
    displayText
    -0.73
    rule
    -0.71
    èĢ
    -0.70
    Ãį
    -0.69
    Islamic
    -0.65
    è£
    -0.65
    ä¹ĭ
    -0.65
    POSITIVE LOGITS
    ickets
    0.86
    onda
    0.81
    gotten
    0.80
     Want
    0.74
    awaru
    0.74
    Want
    0.74
    herty
    0.74
    reprene
    0.72
    atoon
    0.72
    leck
    0.72
    Activations Density 0.024%

    No Known Activations