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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. 9274
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    Explanations

    references to specific groups or entities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to individuals and groups involved in various activities or sectors

    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
     skelet
    -0.68
     seriousness
    -0.60
    ij士
    -0.59
     apostle
    -0.59
     emergencies
    -0.56
    rique
    -0.56
    arcity
    -0.54
     historian
    -0.54
     Apostle
    -0.53
    stice
    -0.53
    POSITIVE LOGITS
     thereof
    0.73
    !--
    0.66
    itored
    0.63
    hip
    0.60
    wx
    0.59
    itial
    0.59
    opol
    0.58
    unknown
    0.58
    çķ
    0.58
    arios
    0.57
    Activations Density 0.860%

    No Known Activations