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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. 11747
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    Explanations

    references to enterprise-level topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases related to enterprise technology

    oai_token-act-pair · gpt-3.5-turbo
    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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    No Comments

    Negative Logits
    uel
    -0.78
    eral
    -0.78
    ras
    -0.77
    pain
    -0.76
    hur
    -0.75
    hemy
    -0.75
    oon
    -0.73
    ãĤ´ãĥ³
    -0.73
    kowski
    -0.73
    abet
    -0.72
    POSITIVE LOGITS
    prise
    0.80
     tenant
    0.77
    ingly
    0.77
     tenancy
    0.77
    wide
    0.75
     365
    0.74
     oriented
    0.73
     Partnership
    0.71
     enterprise
    0.70
     ventures
    0.70
    Activations Density 0.046%

    No Known Activations