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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. 5-RES-JB
    6. 963
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    Explanations

    names of a person, potentially linked to a legal context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Vick" and terms related to water systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oric
    -0.71
    geist
    -0.69
    ppo
    -0.68
     Zeit
    -0.64
    ãĤ¨ãĥ«
    -0.64
    issors
    -0.62
    ohydrate
    -0.60
     Fog
    -0.60
     Catalyst
    -0.60
    inous
    -0.60
    POSITIVE LOGITS
    ski
    0.80
    elines
    0.80
     Kare
    0.74
     Vick
    0.73
    erest
    0.71
    istani
    0.69
     pip
    0.69
     Ukrain
    0.68
    rets
    0.68
    rey
    0.68
    Activations Density 0.035%

    No Known Activations