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

    proper nouns related to geographic locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or geographic areas, particularly "Hills."

    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
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    No Comments

    Negative Logits
    istically
    -0.79
    binary
    -0.76
    SHIP
    -0.73
    emort
    -0.70
    Ģ
    -0.69
    UAL
    -0.68
    thumbnails
    -0.68
    cial
    -0.68
    esthetic
    -0.66
    essential
    -0.66
    POSITIVE LOGITS
    dale
    1.35
    borough
    1.32
    boro
    1.25
    bury
    0.98
     Hills
    0.96
    burg
    0.88
    burgh
    0.83
    shire
    0.82
    ville
    0.81
    bell
    0.80
    Activations Density 0.012%

    No Known Activations