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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. 12326
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    INDEX
    Explanations

    instances of verbs related to completion or finishing

    oai_token-act-pair · gpt-3.5-turbo

    references to completing tasks or responsibilities

    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
    soType
    -0.88
    itters
    -0.65
     happening
    -0.63
    Magikarp
    -0.62
    nai
    -0.61
     predators
    -0.61
    yip
    -0.59
     reacts
    -0.59
     happened
    -0.58
     dangers
    -0.58
    POSITIVE LOGITS
     sentence
    0.95
     homework
    0.94
     paperwork
    0.93
     tasks
    0.93
     preparations
    0.92
     job
    0.91
     journey
    0.90
     chores
    0.88
     task
    0.88
     cycle
    0.85
    Activations Density 0.125%

    No Known Activations