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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. 2819
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    Explanations

    mentions of the name "Peña" at different levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Peña" or variations thereof

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¼ãĤ¦ãĤ¹
    -0.85
    à¦
    -0.72
    è¦ļéĨĴ
    -0.72
    ģĸ
    -0.71
     weeds
    -0.70
    à¤
    -0.70
    ãĥİ
    -0.69
    ãĥĦ
    -0.68
    inventoryQuantity
    -0.67
    ãĤ·
    -0.67
    POSITIVE LOGITS
    itent
    1.34
    cil
    1.22
    alties
    1.21
    nington
    1.03
    elope
    1.03
    insula
    0.99
    ultimate
    0.98
    ning
    0.96
    Pen
    0.94
    cill
    0.94
    Activations Density 0.004%

    No Known Activations