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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. 12587
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    INDEX
    Explanations

    phrases indicating intent or purpose

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating intentions or goals

    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
    soever
    -0.70
    hea
    -0.70
    ItemImage
    -0.66
    workers
    -0.65
     Waiting
    -0.64
    matter
    -0.64
    warning
    -0.62
    worker
    -0.62
     Warning
    -0.61
    iott
    -0.61
    POSITIVE LOGITS
     capitalize
    1.41
     improve
    1.30
     expand
    1.29
     emulate
    1.23
     consolidate
    1.22
     strengthen
    1.22
     broaden
    1.19
     bolster
    1.19
     revive
    1.17
     regain
    1.12
    Activations Density 0.052%

    No Known Activations