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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. 12-RES-JB
    11. 2652
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    Explanations

    phrases related to locations (specifically Massachusettes and New York in this case)

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to the state of Massachusetts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     Bil
    -0.67
     ponies
    -0.67
     Zar
    -0.61
    ¯¯
    -0.60
    gers
    -0.59
    kl
    -0.59
     Slovenia
    -0.57
     nights
    -0.56
     Korra
    -0.56
     Sudan
    -0.56
    POSITIVE LOGITS
    achus
    1.21
    imo
    1.14
    imil
    1.13
    achusetts
    1.10
    achu
    1.02
    ively
    1.01
     Effect
    0.94
    drop
    0.92
    ape
    0.89
    illon
    0.89
    Activations Density 0.028%

    No Known Activations