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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. 6984
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    Explanations

    prepositions related to movement or transportation

    oai_token-act-pair · gpt-3.5-turbo

    references to transportation methods and destinations

    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
    strong
    -0.71
    idav
    -0.67
    woman
    -0.66
    etheless
    -0.64
    ussion
    -0.61
    alion
    -0.60
    angered
    -0.60
    allion
    -0.60
     Recorded
    -0.59
    mask
    -0.58
    POSITIVE LOGITS
     destinations
    1.15
     places
    0.91
     avoid
    0.89
     wherever
    0.88
     maximize
    0.88
    ggles
    0.88
     meet
    0.88
    pless
    0.84
     satisfy
    0.84
     relieve
    0.83
    Activations Density 0.169%

    No Known Activations