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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. 1217
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    Explanations

    mathematical expressions and calculations

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and mathematical concepts

    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
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    Negative Logits
     Canaver
    -0.62
     isEnabled
    -0.56
    iband
    -0.53
    natureconservancy
    -0.53
     Broadcasting
    -0.53
    DCS
    -0.52
     Approach
    -0.52
     NBN
    -0.52
    osate
    -0.51
     Collider
    -0.51
    POSITIVE LOGITS
     deaths
    0.65
    sequently
    0.59
    aughters
    0.57
    sequent
    0.54
     perished
    0.52
    etermined
    0.52
     sorrow
    0.52
    imately
    0.51
    ousands
    0.51
     attest
    0.51
    Activations Density 0.729%

    No Known Activations