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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. 8-RES-JB
    11. 10940
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    Explanations

    mathematical expressions involving functions and iterations

    oai_token-act-pair · gpt-3.5-turbo

    mathematical notations and symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     satell
    -0.79
     undermin
    -0.76
     incorpor
    -0.72
     proble
    -0.69
    VIDIA
    -0.69
     caut
    -0.69
    assador
    -0.69
    ascus
    -0.66
     advoc
    -0.66
    mble
    -0.66
    POSITIVE LOGITS
    _{
    1.16
    ^{
    1.14
    \)
    1.05
    ({
    0.98
    ··
    0.97
    _.
    0.95
    +(
    0.94
     ({
    0.91
    -(
    0.89
    {
    0.89
    Activations Density 0.027%

    No Known Activations