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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. 6-RES-JB
    11. 18684
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    Explanations

    mentions of a specific location, particularly related to "Dun"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Dun" and its variations in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OHN
    -0.69
    âĸĪâĸĪ
    -0.66
    xual
    -0.65
    >>>>>>>>
    -0.63
    NRS
    -0.62
    Magikarp
    -0.61
    INC
    -0.61
    EStream
    -0.58
     Pyro
    -0.58
    INT
    -0.58
    POSITIVE LOGITS
    wich
    1.05
    edin
    1.04
    lap
    1.00
    querque
    0.97
    igan
    0.96
    leys
    0.94
    geon
    0.92
    agon
    0.91
    ogh
    0.91
    wind
    0.88
    Activations Density 0.023%

    No Known Activations