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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. 17253
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    Explanations

    phrases related to the concept of "becoming."

    oai_token-act-pair · gpt-3.5-turbo

    references to becoming or transformation, particularly regarding personal growth or identity changes

    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
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    Negative Logits
    PLIED
    -0.78
     Osw
    -0.70
    è¦ļéĨĴ
    -0.70
     Nadu
    -0.69
    PAC
    -0.69
    tsky
    -0.63
     belts
    -0.61
     IG
    -0.61
    visors
    -0.61
     Siberian
    -0.60
    POSITIVE LOGITS
    oming
    1.59
    omes
    1.28
    uity
    1.01
    uous
    0.99
    zek
    0.98
    ues
    0.95
    ome
    0.95
    OME
    0.93
    ame
    0.88
    ued
    0.87
    Activations Density 0.057%

    No Known Activations