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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. 18280
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    Explanations

    positive descriptors for various aspects like movies, scripts, actors, novels, careers, and sports

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the quality of being "solid."

    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
    Hop
    -0.84
    TIT
    -0.79
    OTO
    -0.73
    erity
    -0.73
     Hear
    -0.73
     Journals
    -0.73
    ~~~~~~~~~~~~~~~~
    -0.68
     Peninsula
    -0.66
     Forever
    -0.65
     Chatt
    -0.64
    POSITIVE LOGITS
    ified
    1.28
    GoldMagikarp
    1.20
    ifying
    1.12
    ifies
    1.05
     solid
    1.00
    ify
    0.93
    ification
    0.93
    solid
    0.90
    itud
    0.89
    idad
    0.89
    Activations Density 0.008%

    No Known Activations