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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    words related to geographical locations, specifically focusing on names of lakes and cities

    oai_token-act-pair · gpt-3.5-turbo

    references to geographical locations, specifically various instances of "Lake"

    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
    akuya
    -0.68
    schild
    -0.66
    GES
    -0.65
    MAT
    -0.64
    rower
    -0.64
    module
    -0.64
    STEM
    -0.63
    ãĤ¯
    -0.63
    matter
    -0.62
    ãĥķãĤ©
    -0.61
    POSITIVE LOGITS
     Lake
    1.12
     lake
    1.06
     Erie
    0.98
    lake
    0.97
    orgetown
    0.91
     Falls
    0.84
     Superior
    0.82
    Lake
    0.80
     trout
    0.80
     lakes
    0.79
    Activations Density 0.003%

    No Known Activations