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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. 15236
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    Explanations

    words related to collaboration, unity, and working together towards a common goal

    oai_token-act-pair · gpt-3.5-turbo

    terms related to connections and relationships between entities

    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
    Not in Any Lists

    No Comments

    Negative Logits
    veland
    -0.83
    ©¶æ¥µ
    -0.77
    cember
    -0.73
    employment
    -0.65
    yre
    -0.62
    iaries
    -0.61
    stadt
    -0.61
    ago
    -0.60
    gallery
    -0.60
    umer
    -0.60
    POSITIVE LOGITS
     between
    1.22
    between
    1.10
     Between
    0.87
     sexes
    0.86
     partners
    0.85
     partner
    0.84
     agreement
    0.82
     twins
    0.80
    yll
    0.80
     Agreement
    0.79
    Activations Density 0.360%

    No Known Activations