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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. 3-RES-JB
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    Explanations

    phrases related to specific locations, specifically those containing the word "Creek"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific creeks and areas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mathemat
    -0.74
     livest
    -0.70
    berman
    -0.69
     newsp
    -0.69
     profit
    -0.67
     obser
    -0.65
    [_
    -0.60
    Downloadha
    -0.60
    oppable
    -0.60
    neapolis
    -0.60
    POSITIVE LOGITS
    dale
    1.20
     Creek
    1.11
     Falls
    0.98
     Meadows
    0.96
     Canyon
    0.94
    weed
    0.92
    wood
    0.90
    banks
    0.88
     Valley
    0.86
    lake
    0.86
    Activations Density 0.012%

    No Known Activations