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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. 14
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    Explanations

    words related to audiovisual technology or industry

    oai_token-act-pair · gpt-3.5-turbo

    references to "AV" or autonomous vehicle systems

    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
    tons
    -0.78
    kick
    -0.73
    rition
    -0.73
     Coke
    -0.68
    court
    -0.66
    leton
    -0.66
    coat
    -0.65
     Schultz
    -0.64
    ker
    -0.64
    tera
    -0.64
    POSITIVE LOGITS
    irtual
    1.02
    ENG
    1.00
    iew
    0.97
    EMENT
    0.92
    ILE
    0.89
    ISION
    0.89
    AV
    0.89
    atars
    0.88
    icular
    0.88
    OGR
    0.86
    Activations Density 0.012%

    No Known Activations