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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. 998
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    Explanations

    phrases related to historical events during wars

    oai_token-act-pair · gpt-3.5-turbo

    references to historical events and contexts, particularly related to wars

    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
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    No Comments

    Negative Logits
     Rubio
    -0.74
     Grassley
    -0.73
     dop
    -0.72
     bloggers
    -0.71
     pastors
    -0.71
     JPM
    -0.70
     Lyft
    -0.69
     Jindal
    -0.68
    amily
    -0.68
     dads
    -0.67
    POSITIVE LOGITS
     Allied
    1.53
     1944
    1.44
     1945
    1.41
     Normandy
    1.40
     1943
    1.38
     1942
    1.37
     Battle
    1.33
     1941
    1.33
    Battle
    1.31
    1945
    1.29
    Activations Density 0.388%

    No Known Activations