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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. 2-RES-JB
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    Explanations

    expressions of ideas, thoughts, or feelings being communicated or conveyed

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "express" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ellen
    -0.82
    laus
    -0.80
    etheless
    -0.79
    ritz
    -0.78
    assic
    -0.76
    quartered
    -0.76
     Peb
    -0.72
    prus
    -0.70
    restling
    -0.69
    usalem
    -0.69
    POSITIVE LOGITS
     express
    1.00
    Express
    0.88
    express
    0.86
    Route
    0.83
    iveness
    0.82
    ivities
    0.82
    ivity
    0.79
     expresses
    0.73
     gratitude
    0.72
    urous
    0.71
    Activations Density 0.009%

    No Known Activations