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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. 3-RES-JB
    11. 8382
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    Explanations

    references to a particular name "Kal"

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of a specific name or proper noun related to a person or entity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.99
    IBLE
    -0.73
    rored
    -0.69
    eur
    -0.66
    çĶŁ
    -0.63
    displayText
    -0.63
    åij
    -0.62
    æĸ¹
    -0.59
    advertisement
    -0.59
    ModLoader
    -0.59
    POSITIVE LOGITS
    amaz
    1.20
    adesh
    1.07
    arov
    1.01
    Kal
    0.97
    iton
    0.96
    endar
    0.94
    ibr
    0.94
     Osw
    0.91
    atar
    0.90
    endars
    0.90
    Activations Density 0.004%

    No Known Activations