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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. 9-RES-JB
    11. 2919
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    Explanations

    phrases related to instances of significant events or problems

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or events associated with the term "at."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idav
    -0.79
    selves
    -0.74
    ption
    -0.71
    VIDEO
    -0.70
    agree
    -0.70
    ascript
    -0.68
    prep
    -0.68
    Feature
    -0.68
    itialized
    -0.68
    antics
    -0.68
    POSITIVE LOGITS
     least
    1.08
     Hogwarts
    0.97
     airports
    0.94
     universities
    0.92
     Guantanamo
    0.88
     colleges
    0.87
     home
    0.86
    onement
    0.85
     Headquarters
    0.85
     Guant
    0.83
    Activations Density 0.175%

    No Known Activations