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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. 19067
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    Explanations

    actions related to personal grooming

    oai_token-act-pair · gpt-3.5-turbo

    actions and references to physical interaction or grooming

    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
    QU
    -0.82
    imester
    -0.78
    --------------------------------------------------------
    -0.77
    quest
    -0.76
    ItemThumbnailImage
    -0.76
    SPONSORED
    -0.72
    QUEST
    -0.71
    HCR
    -0.70
    atown
    -0.70
    REL
    -0.70
    POSITIVE LOGITS
     cheeks
    1.03
     surfaces
    1.00
     brim
    0.98
     feathers
    0.93
     linen
    0.86
     floors
    0.83
     slate
    0.83
     membranes
    0.83
     wounds
    0.83
     ashes
    0.82
    Activations Density 0.316%

    No Known Activations