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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. 9-RES-JB
    11. 8840
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    Explanations

    email addresses

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of email addresses

    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
    estern
    -0.53
    terness
    -0.45
    recated
    -0.43
    hower
    -0.43
    lihood
    -0.43
    RH
    -0.43
    merce
    -0.43
    raft
    -0.42
    PIN
    -0.42
    aspers
    -0.41
    POSITIVE LOGITS
     respectively
    0.81
     prest
    0.50
     latter
    0.49
     prepar
    0.42
     pilgrimage
    0.42
     culmin
    0.42
     assail
    0.42
     guiName
    0.42
     frequ
    0.41
     spectral
    0.41
    Activations Density 2.313%

    No Known Activations