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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. 7-RES-JB
    11. 9727
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mble
    -0.82
    lance
    -0.59
    erial
    -0.58
     âĶľâĶĢâĶĢ
    -0.57
     TNT
    -0.57
    ãĥIJ
    -0.56
    ãĤº
    -0.56
    ãĥ£
    -0.55
    ãĥĩãĤ£
    -0.55
    ãĤµ
    -0.54
    POSITIVE LOGITS
     whom
    0.71
    's
    0.71
    kson
    0.67
     himself
    0.67
    cum
    0.65
     personally
    0.65
    existent
    0.63
    ouf
    0.63
    iani
    0.62
    ovich
    0.62
    Activations Density 0.405%

    No Known Activations