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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. 12156
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    Explanations

    proper nouns of people and locations

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the word "of" and numerical values or counts associated with it

    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
    TPP
    -0.81
     influ
    -0.74
    URI
    -0.72
    AFP
    -0.72
    fights
    -0.72
    人
    -0.72
     exerted
    -0.71
     expr
    -0.69
    æĹ
    -0.69
    Netflix
    -0.68
    POSITIVE LOGITS
     Deer
    1.31
     Pleasant
    1.29
     Wood
    1.23
     Glen
    1.21
     Newtown
    1.18
     Sturgeon
    1.16
     Lake
    1.16
     Manit
    1.15
     Plymouth
    1.15
     Cedar
    1.15
    Activations Density 0.222%

    No Known Activations