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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. 4-RES-JB
    11. 6136
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    Explanations

    references to a specific company or product, "Flipkart"

    oai_token-act-pair · gpt-3.5-turbo

    references to the brand "Flip" and associated products or services

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

    No Comments

    Negative Logits
    istically
    -0.95
    >>>>>>>>
    -0.78
    FTWARE
    -0.72
    OAD
    -0.69
    ized
    -0.69
     rig
    -0.65
    OTHER
    -0.65
    ettings
    -0.64
     Carr
    -0.62
    ounter
    -0.61
    POSITIVE LOGITS
    tsy
    0.98
    pak
    0.97
    ters
    0.97
    few
    0.84
    bugs
    0.79
     Rate
    0.78
    nuts
    0.77
     Plate
    0.77
    ting
    0.76
    renheit
    0.76
    Activations Density 0.030%

    No Known Activations