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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. 12-RES-JB
    11. 4809
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    INDEX
    Explanations

    key terms related to financial activities and industry, specifically focusing on data usage, investments, profits, and corporate misconduct

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    expressions indicating significance or inclusion of all elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    bal
    -0.66
    igm
    -0.62
    ichen
    -0.59
     Audit
    -0.58
    mma
    -0.58
     Heath
    -0.57
    isk
    -0.57
     Awakens
    -0.56
    sein
    -0.56
    na
    -0.55
    POSITIVE LOGITS
    uding
    1.13
    ocating
    1.04
    igators
    1.04
    usions
    1.03
    owing
    0.96
    oys
    0.94
    uring
    0.93
    usion
    0.87
     while
    0.86
     sorts
    0.82
    Activations Density 0.055%

    No Known Activations