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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. 11470
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "BUR" and related names associated with specific events or subjects

    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
    oral
    -1.07
    terday
    -0.80
    opt
    -0.69
    aterial
    -0.69
    ãĤ´ãĥ³
    -0.67
    ection
    -0.66
    antic
    -0.64
    wegian
    -0.62
    aunder
    -0.62
    voy
    -0.62
    POSITIVE LOGITS
    STON
    0.94
    BUR
    0.91
    lett
    0.89
    rette
    0.88
    ãĤ§
    0.78
    ¶
    0.77
    IJ
    0.77
    ¸
    0.75
    ITY
    0.75
    rigan
    0.75
    Activations Density 0.016%

    No Known Activations