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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. 17397
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    Explanations

    references to the act of creating or crafting something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to how to create or produce something

    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
     Investigative
    -0.69
    assis
    -0.64
    CLOSE
    -0.63
    hood
    -0.61
     Mub
    -0.60
    rina
    -0.60
    2019
    -0.59
    hens
    -0.59
    ei
    -0.58
    phrine
    -0.58
    POSITIVE LOGITS
     sure
    1.33
    hift
    0.96
     adjustments
    0.84
    sure
    0.80
     sense
    0.80
     mistakes
    0.80
     fun
    0.78
    netflix
    0.74
    ä½ľ
    0.73
     documentaries
    0.73
    Activations Density 0.137%

    No Known Activations