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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    the word "be"

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "be."

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

    No Comments

    Negative Logits
     monop
    -0.78
    rador
    -0.77
     lapt
    -0.73
    azines
    -0.71
     referen
    -0.71
     Palestin
    -0.69
     partName
    -0.67
     pedigree
    -0.66
     confir
    -0.65
     firsthand
    -0.65
    POSITIVE LOGITS
    yond
    1.38
    arers
    1.11
    arer
    1.09
    FORE
    1.05
    cker
    1.02
    ardless
    0.97
    ech
    0.93
    ards
    0.93
    gins
    0.90
    here
    0.90
    Activations Density 0.013%

    No Known Activations