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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. 10-RES-JB
    11. 16280
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    Explanations

    references to specific locations, particularly focusing on localities such as cities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the cities Edmonton and Calgary

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Barkley
    -0.79
    strate
    -0.75
    colo
    -0.74
     Tsarnaev
    -0.71
    lihood
    -0.70
     Saiyan
    -0.68
    alian
    -0.68
    visory
    -0.68
     GOODMAN
    -0.68
    Oracle
    -0.68
    POSITIVE LOGITS
     Oilers
    1.35
    monton
    1.16
     Edmonton
    1.09
     Flames
    1.09
     Alberta
    1.08
    atoon
    1.06
     Saskatchewan
    1.05
     Calgary
    1.04
     NDP
    1.00
     Manitoba
    0.99
    Activations Density 0.046%

    No Known Activations