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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. 17696
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    Explanations

    references to caregiving or medical tasks, particularly related to tasks involving physical care or medical treatment

    oai_token-act-pair · gpt-3.5-turbo

    references to health-related topics and conditions

    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
    quickShipAvailable
    -0.74
    EMBER
    -0.69
    soType
    -0.64
    )))
    -0.63
    ãĤ´ãĥ³
    -0.62
    abama
    -0.61
    edom
    -0.61
    shown
    -0.60
    METHOD
    -0.59
     )))
    -0.59
    POSITIVE LOGITS
     or
    0.72
     buzzing
    0.66
     grunt
    0.63
     sweats
    0.61
     manic
    0.60
    ®,
    0.58
     roar
    0.56
     greens
    0.56
     etc
    0.55
    !),
    0.55
    Activations Density 1.653%

    No Known Activations