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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. 3985
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    INDEX
    Explanations

    verbs indicating missed opportunities or potential actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "would have" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Not in Any Lists

    No Comments

    Negative Logits
    osi
    -0.61
    aris
    -0.58
     muse
    -0.57
     disinfect
    -0.56
    iling
    -0.54
     trolling
    -0.54
     disguise
    -0.54
     seasoning
    -0.53
     hostage
    -0.52
     plaintiff
    -0.52
    POSITIVE LOGITS
     been
    1.09
    been
    1.05
     gotten
    1.01
     gone
    0.88
     benefited
    0.88
     liked
    0.87
    Ģ
    0.84
     fared
    0.82
    ¶
    0.81
    gotten
    0.80
    Activations Density 0.064%

    No Known Activations