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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. 9-RES-JB
    11. 20202
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    Explanations

    names of specific locations or places

    oai_token-act-pair · gpt-3.5-turbo

    locations or place names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vana
    -0.74
    measures
    -0.74
    letters
    -0.74
    BALL
    -0.74
    AMS
    -0.73
    ptoms
    -0.72
    drops
    -0.70
    éĹĺ
    -0.70
    orders
    -0.68
    rencies
    -0.68
    POSITIVE LOGITS
     suburb
    1.15
     resident
    0.95
     native
    0.94
     courtroom
    0.92
     lawmaker
    0.92
     restaurant
    0.90
     municipality
    0.89
     neighborhood
    0.89
     upbringing
    0.88
     businessman
    0.88
    Activations Density 0.117%

    No Known Activations