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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. 8-RES-JB
    11. 715
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    Explanations

    personal pronouns referring to a group or individuals

    oai_token-act-pair · gpt-3.5-turbo

    subjects and pronouns related to actions or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    farious
    -0.73
    asper
    -0.62
    itaire
    -0.61
    bucks
    -0.55
    ifiable
    -0.52
    luster
    -0.51
    EStream
    -0.51
    izable
    -0.51
    Ire
    -0.50
     Seym
    -0.50
    POSITIVE LOGITS
    resy
    0.65
     consisted
    0.63
    gemony
    0.62
     didnt
    0.60
     largeDownload
    0.58
     ain
    0.56
     arrived
    0.56
     survived
    0.55
    oret
    0.54
     crept
    0.54
    Activations Density 0.384%

    No Known Activations