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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. 1-RES-JB
    11. 13401
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    Explanations

    keywords related to indoor activities or settings, especially focusing on "indoor" events or items

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to indoor activities or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awed
    -0.87
    aws
    -0.82
    doms
    -0.72
    dyl
    -0.70
    erest
    -0.69
    iegel
    -0.69
    awa
    -0.68
    atche
    -0.67
    aw
    -0.67
    uyomi
    -0.66
    POSITIVE LOGITS
     indoor
    1.15
     indoors
    1.12
     outdoor
    0.89
     outdoors
    0.76
    bledon
    0.72
    estinal
    0.72
     plumbing
    0.71
     mats
    0.70
     aquarium
    0.70
     gardening
    0.68
    Activations Density 0.006%

    No Known Activations