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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. 2335
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    INDEX
    Explanations

    terms related to transportation routes and commuting details

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    verbs and prepositions related to movement or transfer

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    idav
    -0.69
    strong
    -0.62
     vows
    -0.61
    uber
    -0.60
     moder
    -0.58
    woman
    -0.56
    pair
    -0.55
    cli
    -0.55
     hes
    -0.55
     indic
    -0.54
    POSITIVE LOGITS
     destinations
    1.13
     relieve
    1.00
     satisfy
    0.96
     avoid
    0.95
     maximize
    0.93
     alleviate
    0.92
     retrieve
    0.92
     achieve
    0.91
     accommodate
    0.90
     meet
    0.89
    Activations Density 0.218%

    No Known Activations