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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. 10-RES-JB
    11. 862
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    Explanations

    words related to specific names and locations, particularly "Logan" and "Scot."

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly those named Logan or associated with Logan

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    plays
    -0.75
    omething
    -0.75
    itional
    -0.71
    ertation
    -0.70
    ociation
    -0.70
    ociate
    -0.69
    IRD
    -0.68
    OURCE
    -0.68
     dstg
    -0.66
    aiman
    -0.66
    POSITIVE LOGITS
    culosis
    1.03
    cial
    0.87
    icum
    0.86
     Cout
    0.82
    istani
    0.82
    ously
    0.81
    ty
    0.78
    iques
    0.76
    azines
    0.76
    ese
    0.76
    Activations Density 0.065%

    No Known Activations