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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. 8-RES-JB
    11. 11841
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    Explanations

    proper nouns or names of people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mble
    -0.77
    lehem
    -0.65
     ãĤ
    -0.60
     ãģ
    -0.58
    erial
    -0.57
    mos
    -0.56
    ãĤµ
    -0.56
     ãĥ
    -0.56
    urtles
    -0.55
     tcp
    -0.55
    POSITIVE LOGITS
    's
    0.98
     personally
    0.95
     himself
    0.82
    enegger
    0.70
    ovich
    0.69
     candidacy
    0.68
     firsthand
    0.67
     voicing
    0.66
     Jr
    0.65
    EStreamFrame
    0.64
    Activations Density 0.344%

    No Known Activations