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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. 22656
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    Explanations

    names of people and specific terms that might be related to certain professions or industries

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific names related to people, businesses, and organizations

    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
    lihood
    -0.82
    ¿½
    -0.71
    ²¾
    -0.69
     Siber
    -0.67
    fw
    -0.65
    port
    -0.64
     spur
    -0.63
    bed
    -0.63
    edly
    -0.62
    sent
    -0.61
    POSITIVE LOGITS
    icer
    0.90
     extraord
    0.81
    maid
    0.80
    atures
    0.75
    ancel
    0.73
    ANCE
    0.73
     Clicker
    0.72
    archy
    0.72
    OGR
    0.72
    FTWARE
    0.71
    Activations Density 0.008%

    No Known Activations