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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. 10374
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    Explanations

    specific locations and addresses, particularly related to real estate or commercial establishments

    oai_token-act-pair · gpt-3.5-turbo

    locations and properties associated with significant places or establishments

    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
    direction
    -0.75
    yout
    -0.74
     antibodies
    -0.74
     virus
    -0.73
    EU
    -0.72
     deflation
    -0.72
     pse
    -0.71
    translation
    -0.71
     ide
    -0.70
    tarians
    -0.70
    POSITIVE LOGITS
     Café
    1.37
     Cafe
    1.34
     Plaza
    1.22
     Riverside
    1.19
     Halls
    1.14
     Hotel
    1.13
     Manor
    1.12
     downtown
    1.12
     Meadow
    1.12
     Oak
    1.11
    Activations Density 0.401%

    No Known Activations