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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. 11-RES-JB
    11. 14796
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    TRY
    -0.77
    DEM
    -0.71
    liga
    -0.71
    zan
    -0.68
    anu
    -0.67
    ãĥķãĤ©
    -0.66
    imposed
    -0.66
    NEY
    -0.65
    uman
    -0.65
    FUL
    -0.63
    POSITIVE LOGITS
     inbox
    1.23
     address
    1.16
     addresses
    1.13
     correspondence
    1.12
    boxes
    0.97
    address
    0.94
     sender
    0.92
     attachments
    0.91
     headers
    0.88
     Address
    0.88
    Activations Density 0.047%

    No Known Activations