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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. 10-RES-JB
    6. 9845
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    Explanations

    opinions or personal thoughts shared in conversational language, often representing disagreement or disbelief

    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with emotional expressions and experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.86
    xtap
    -0.73
    mittedly
    -0.67
    uitive
    -0.67
    surprisingly
    -0.66
    Accessory
    -0.66
    externalActionCode
    -0.65
    ¿½
    -0.64
    sequently
    -0.63
    Tier
    -0.62
    POSITIVE LOGITS
    .")
    1.97
     ..."
    1.89
    ").
    1.86
    !",
    1.82
    !".
    1.82
    ..."
    1.77
    ',"
    1.74
    ")
    1.71
    ?",
    1.70
    "),
    1.70
    Activations Density 0.872%

    No Known Activations