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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. 4469
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    Explanations

    the name "Zak"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names

    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
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.73
    ATTLE
    -0.71
    Else
    -0.62
    flu
    -0.61
    20439
    -0.60
    soDeliveryDate
    -0.60
    姫
    -0.60
    Haunted
    -0.60
     Chr
    -0.60
     Conversation
    -0.59
    POSITIVE LOGITS
     Zak
    1.13
    ril
    0.94
    usha
    0.91
    ovich
    0.90
    osta
    0.90
    pak
    0.88
    ak
    0.88
    otic
    0.86
    uner
    0.85
    heim
    0.85
    Activations Density 0.006%

    No Known Activations