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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. 6656
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    Explanations

    terms related to the concept of "occupation" or "occupying."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to occupations and hazardous substances

    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
     Byrne
    -0.62
     Sigma
    -0.62
     Teresa
    -0.60
     Fargo
    -0.59
     constellation
    -0.59
     Oaks
    -0.58
     fixme
    -0.58
     4096
    -0.57
     Isle
    -0.57
     Basin
    -0.57
    POSITIVE LOGITS
    estate
    1.33
    ational
    1.29
    ation
    1.26
    ename
    1.25
    ers
    1.25
    ations
    1.23
    ables
    1.18
    ability
    1.16
    ants
    1.15
    eway
    1.14
    Activations Density 0.146%

    No Known Activations