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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. 833
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    Explanations

    mathematical expressions and symbols

    oai_token-act-pair · gpt-3.5-turbo

    terms related to mathematical or statistical concepts

    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
    sburg
    -0.69
    gered
    -0.68
     jog
    -0.64
     clinch
    -0.64
     spills
    -0.63
     overdue
    -0.61
    iliated
    -0.61
     slideshow
    -0.59
     Pigs
    -0.59
    ildo
    -0.59
    POSITIVE LOGITS
    {\
    1.06
    \
    0.95
    {
    0.93
    \)
    0.93
    _{
    0.89
     }}
    0.88
    }\
    0.87
    {{
    0.83
     {\
    0.82
    align
    0.80
    Activations Density 0.046%

    No Known Activations