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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. 18446
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    Explanations

    phrases related to causality and results

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating causation or effects related to specific results

    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
    Not in Any Lists

    No Comments

    Negative Logits
    utical
    -0.85
    horn
    -0.77
    ppa
    -0.77
    ario
    -0.70
    irens
    -0.69
    lest
    -0.68
    quet
    -0.67
    asive
    -0.66
    Daddy
    -0.66
    eers
    -0.66
    POSITIVE LOGITS
     sheer
    0.77
     inaction
    0.71
     undergoing
    0.69
     lying
    0.67
     circumstance
    0.66
     Antar
    0.66
     shelling
    0.66
     rounding
    0.66
     absorbing
    0.66
     pree
    0.65
    Activations Density 0.067%

    No Known Activations