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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. 6-RES-JB
    11. 18815
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    Explanations

    proper nouns or names of companies or products that were created

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "created" and related terms that indicate the formation or establishment of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     judgement
    -0.70
    ãģĦ
    -0.70
     judgment
    -0.68
    edge
    -0.61
    appro
    -0.60
    pled
    -0.58
    ogle
    -0.57
     passage
    -0.56
    hom
    -0.55
     repro
    -0.55
    POSITIVE LOGITS
     by
    0.84
    ynamic
    0.74
     anew
    0.70
     aback
    0.65
     collabor
    0.64
     By
    0.64
    BLIC
    0.64
    terday
    0.62
    âĶģ
    0.61
    dinand
    0.60
    Activations Density 0.154%

    No Known Activations