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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 5287
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    Explanations

    words related to social impact or interactions within communities

    oai_token-act-pair · gpt-3.5-turbo

    references to impacts related to cannabis usage and mental health

    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
     Lauder
    -0.67
    IU
    -0.62
     DeVos
    -0.61
     Sack
    -0.61
     Kavanaugh
    -0.59
     Applicant
    -0.59
     Akin
    -0.57
    akia
    -0.57
     Zika
    -0.55
    Asset
    -0.55
    POSITIVE LOGITS
     everyday
    0.65
     unsuspecting
    0.63
    aneously
    0.61
     geographically
    0.60
     terrestrial
    0.60
     toast
    0.57
     mainstream
    0.56
     persecuted
    0.55
     [|
    0.55
    inates
    0.55
    Activations Density 1.441%

    No Known Activations