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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. 20680
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    Explanations

    phrases related to achievement or success

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to actions of obtaining or achieving something

    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
    velt
    -0.75
    è¦ļéĨĴ
    -0.62
    eem
    -0.62
     Archdemon
    -0.61
    psc
    -0.59
     endeavour
    -0.58
     Duty
    -0.57
    iege
    -0.56
     Conclusion
    -0.56
    orable
    -0.55
    POSITIVE LOGITS
     rid
    1.26
     acquainted
    1.00
     embroiled
    0.98
     involved
    0.98
     entangled
    0.98
     lucky
    0.94
     tangled
    0.94
     bog
    0.91
     permission
    0.90
     married
    0.88
    Activations Density 0.100%

    No Known Activations