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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 15788
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    Explanations

    Given the variety of activations, it seems like this neuron is difficult to summarize in a single sentence

    oai_token-act-pair · gpt-3.5-turbo

    specific proper nouns or names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hein
    -0.84
     Bauer
    -0.80
    Hug
    -0.80
    iel
    -0.77
    hered
    -0.75
     enthusi
    -0.74
     Bees
    -0.71
     Goose
    -0.70
     gra
    -0.70
    iveness
    -0.70
    POSITIVE LOGITS
     Tate
    0.89
    tmp
    0.89
    stant
    0.88
    wart
    0.87
    ton
    0.87
    DT
    0.85
    qt
    0.83
    ot
    0.83
    tty
    0.81
    dt
    0.81
    Activations Density 0.252%

    No Known Activations