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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. 9-RES-JB
    6. 10797
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    Explanations

    The main thing this neuron does is find expressions that mention years

    oai_token-act-pair · gpt-3.5-turbo

    specific references to media, events, and entities associated with pop culture and sports

    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
     assorted
    -0.57
     Undead
    -0.53
    onomy
    -0.52
    zi
    -0.51
    Magn
    -0.51
    accompanied
    -0.51
    aughed
    -0.51
    ãĥ©ãĥ³
    -0.50
    liam
    -0.50
    arthy
    -0.50
    POSITIVE LOGITS
     nor
    2.24
     anymore
    2.18
    nor
    1.64
     whatsoever
    1.47
    yet
    1.34
     unless
    1.25
     slightest
    1.17
     anywhere
    1.16
    unless
    1.14
     any
    1.13
    Activations Density 0.938%

    No Known Activations