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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. 5515
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    **emails**

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter 'e'

    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
     mine
    -0.66
     vocals
    -0.64
     Ernst
    -0.63
     railing
    -0.60
     objectively
    -0.59
     Leth
    -0.58
     Vulkan
    -0.58
     Anthem
    -0.58
     Activision
    -0.58
     BST
    -0.58
    POSITIVE LOGITS
    tymology
    1.46
    agles
    1.27
    Commerce
    1.25
    ugen
    1.25
    commerce
    1.24
    ternally
    1.18
    thereum
    1.18
    arthed
    1.18
    ighth
    1.15
    lements
    1.14
    Activations Density 0.024%

    No Known Activations