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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. 4-RES-JB
    11. 9688
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    Explanations

    phrases related to personal experiences and interactions

    oai_token-act-pair · gpt-3.5-turbo

    first-person pronouns and expressions of personal experience

    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
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    Negative Logits
     decoration
    -0.80
     Haku
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     MV
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    esides
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    herence
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    ipation
    -0.62
     Chap
    -0.61
     Sakuya
    -0.60
    seller
    -0.60
     seller
    -0.60
    POSITIVE LOGITS
     WATCHED
    0.79
    ñ
    0.78
    azeera
    0.75
    MAX
    0.72
    pec
    0.72
    attr
    0.72
    ldon
    0.71
    opia
    0.70
    ANA
    0.70
    iq
    0.69
    Activations Density 0.507%

    No Known Activations