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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. 3-RES-JB
    11. 3682
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    elements related to email subscription processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Bend
    -0.72
     Ath
    -0.65
     Sof
    -0.65
    abal
    -0.64
    cephal
    -0.64
    gru
    -0.63
    igans
    -0.63
    urally
    -0.62
    omorphic
    -0.61
    ufact
    -0.60
    POSITIVE LOGITS
    taboola
    0.73
     domain
    0.68
    Swe
    0.66
     Thumbnails
    0.63
    iframe
    0.62
     guiIcon
    0.62
    ona
    0.61
    irmation
    0.61
    %]
    0.60
     Hover
    0.60
    Activations Density 0.102%

    No Known Activations