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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. 8762
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    Explanations

    prepositions followed by proper nouns (such as names of people or places)

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating hierarchical relationships or affiliations across various entities

    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
    Ô
    -0.75
    body
    -0.70
    bucks
    -0.69
    ãĤ©
    -0.68
    chens
    -0.67
    quartered
    -0.67
    ãĥĪ
    -0.67
    uni
    -0.63
    EStream
    -0.63
    nels
    -0.63
    POSITIVE LOGITS
     both
    1.04
     various
    0.94
     several
    0.83
     numerous
    0.81
     Presidents
    0.76
     departments
    0.72
     each
    0.71
     innumerable
    0.69
     multiple
    0.69
     dozens
    0.69
    Activations Density 0.433%

    No Known Activations