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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. 4-RES-JB
    11. 6737
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    keywords related to indoor locations or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to indoor activities or environments

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

    No Comments

    Negative Logits
    erker
    -0.89
    awaru
    -0.83
    urai
    -0.82
    erk
    -0.78
    hon
    -0.74
    zsche
    -0.73
    uyomi
    -0.73
    awed
    -0.72
    erest
    -0.72
    atche
    -0.72
    POSITIVE LOGITS
     indoor
    0.97
     indoors
    0.83
     Garden
    0.74
     plumbing
    0.73
    vention
    0.73
     outdoor
    0.69
    estinal
    0.69
    spection
    0.68
    door
    0.67
     gardening
    0.67
    Activations Density 0.010%

    No Known Activations