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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. 6-RES-JB
    11. 14144
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    Explanations

    references to "Alice in Wonderland"

    oai_token-act-pair · gpt-3.5-turbo

    references to "Alice in Wonderland."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ework
    -0.84
    enegger
    -0.83
    ODUCT
    -0.83
    soDeliveryDate
    -0.78
     upkeep
    -0.71
    rontal
    -0.71
    iaries
    -0.67
    eful
    -0.66
    ycle
    -0.65
    sense
    -0.65
    POSITIVE LOGITS
    Alice
    0.94
     Springs
    0.89
     Wonderland
    0.81
     Alice
    0.77
     Cooper
    0.76
     Maria
    0.76
     Weir
    0.75
    pheus
    0.74
    isle
    0.73
     Louise
    0.73
    Activations Density 0.018%

    No Known Activations