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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. 11-RES-JB
    11. 2026
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    Explanations

    specific event locations, such as cities or venues

    oai_token-act-pair · gpt-3.5-turbo

    locations or contexts in which events occur

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oldown
    -0.75
    abuse
    -0.72
    ĺħ
    -0.69
    inet
    -0.69
    ascript
    -0.69
     blat
    -0.69
    Versions
    -0.67
    cffffcc
    -0.66
    orius
    -0.66
    alogy
    -0.65
    POSITIVE LOGITS
     Las
    1.28
     Anaheim
    1.21
     Pasadena
    1.17
     Indianapolis
    1.17
     Nashville
    1.15
     Sochi
    1.12
     Orlando
    1.11
     Honolulu
    1.11
     Rio
    1.09
     Vegas
    1.09
    Activations Density 0.144%

    No Known Activations