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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. 20101
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    Explanations

    In this case, the neuron appears to be looking for the word "this" with varying levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    references to specific subjects or items being discussed

    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
    pps
    -0.90
    arest
    -0.88
    aws
    -0.87
    sts
    -0.86
    quarters
    -0.82
    oran
    -0.82
    oots
    -0.81
    gas
    -0.81
    ²¾
    -0.81
    asures
    -0.81
    POSITIVE LOGITS
     sucker
    1.11
     guy
    1.06
     trope
    0.98
     stuff
    0.96
     info
    0.93
     article
    0.93
     information
    0.90
     particular
    0.88
     phenomenon
    0.86
     situation
    0.86
    Activations Density 0.138%

    No Known Activations