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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. 10-RES-JB
    11. 24410
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    The neuron is looking for instances of the word "the" followed by subsequent words

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.75
    gal
    -0.68
    ISS
    -0.65
    athon
    -0.64
    gt
    -0.63
    ictionary
    -0.62
    âĵĺ
    -0.61
    EMA
    -0.61
    plementation
    -0.61
    ovember
    -0.60
    POSITIVE LOGITS
     while
    0.98
     rage
    0.97
     usual
    0.96
     same
    0.91
    while
    0.88
     fuss
    0.86
     indications
    0.86
     sudden
    0.82
    things
    0.80
     way
    0.77
    Activations Density 0.039%

    No Known Activations