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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. 9-RES-JB
    11. 4833
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    Explanations

    instances where the subject is performing an action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "did" and related variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ESA
    -0.71
    eenth
    -0.71
    isu
    -0.70
    ãĤ´ãĥ³
    -0.69
    ONSORED
    -0.67
    Users
    -0.65
    Price
    -0.64
    pac
    -0.62
    gat
    -0.62
    rous
    -0.62
    POSITIVE LOGITS
    pez
    0.95
     everything
    0.91
     wonders
    0.90
     something
    0.89
    omsday
    0.87
    oms
    0.84
     miracles
    0.83
     things
    0.83
     stuff
    0.82
     homework
    0.80
    Activations Density 0.140%

    No Known Activations