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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. 1-RES-JB
    11. 8904
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    Explanations

    positive descriptions of quality or strength

    oai_token-act-pair · gpt-3.5-turbo

    the word "solid" and its variations, indicating an assessment of strength or quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erity
    -0.79
    Hop
    -0.77
     Forever
    -0.71
    OTO
    -0.70
     Journals
    -0.69
    uberty
    -0.68
    AUT
    -0.68
    arenthood
    -0.68
    clipse
    -0.68
    ungle
    -0.66
    POSITIVE LOGITS
     solid
    1.09
    ified
    1.05
    GoldMagikarp
    0.98
    solid
    0.97
    ifying
    0.94
    Solid
    0.89
    ifies
    0.88
     stellar
    0.87
    ify
    0.81
    idad
    0.80
    Activations Density 0.012%

    No Known Activations