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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. 6-RES-JB
    11. 2658
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    Explanations

    personal pronouns and verbs in the third person

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    area
    -0.72
    past
    -0.68
    mpire
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    fleet
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    aye
    -0.65
    lator
    -0.65
    itaire
    -0.64
    angular
    -0.62
     Minute
    -0.62
    picture
    -0.62
    POSITIVE LOGITS
    zbollah
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     redes
    0.74
     rul
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     releases
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     succeeds
    0.64
     detractors
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     succeeded
    0.63
     puzzled
    0.62
    Activations Density 0.441%

    No Known Activations