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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 16156
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    Explanations

    phrases related to locations

    oai_token-act-pair · gpt-3.5-turbo

    periods at the end of sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     listener
    -0.73
     affili
    -0.72
     disemb
    -0.72
     pit
    -0.68
    icent
    -0.68
     brief
    -0.67
    isl
    -0.65
     barg
    -0.64
     bre
    -0.64
     tyr
    -0.64
    POSITIVE LOGITS
     Moreover
    1.33
     Hence
    1.28
     Consequently
    1.25
     Therefore
    1.22
     Thus
    1.21
     Furthermore
    1.15
     Indeed
    1.14
     So
    1.14
     Specifically
    1.13
     Notably
    1.11
    Activations Density 0.619%

    No Known Activations