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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. 10-RES-JB
    11. 5101
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    INDEX
    Explanations

    calls to action to share or disseminate information with others

    oai_token-act-pair · gpt-3.5-turbo

    phrases encouraging sharing or collaboration with others

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iHUD
    -0.76
    wcsstore
    -0.75
    ZI
    -0.70
    querque
    -0.70
    rake
    -0.68
    steen
    -0.64
    osta
    -0.64
    nosis
    -0.61
    work
    -0.61
    yles
    -0.61
    POSITIVE LOGITS
     others
    1.24
     passers
    1.16
     unsuspecting
    1.03
     colleagues
    1.01
     classmates
    1.01
     fellow
    1.00
     readers
    1.00
     audiences
    0.99
     everyone
    0.98
     friends
    0.93
    Activations Density 0.121%

    No Known Activations