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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. 7415
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    Explanations

    words related to programming syntax and functions

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the article "a" in various contexts within the text

    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
     Atkins
    -0.78
    AIDS
    -0.77
     Oprah
    -0.77
    OTUS
    -0.70
    African
    -0.70
    NPR
    -0.69
    oft
    -0.67
    atton
    -0.67
    NP
    -0.65
    ampunk
    -0.65
    POSITIVE LOGITS
     dummy
    1.12
     bunch
    1.05
     placeholder
    0.99
     subset
    0.99
    uras
    0.97
     single
    0.96
     specific
    0.96
     separate
    0.95
     suitable
    0.94
     random
    0.92
    Activations Density 0.319%

    No Known Activations