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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. 8939
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    Explanations

    references to clubs or club-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to clubs and their activities

    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
    å¦
    -0.92
    Accessory
    -0.80
    inventoryQuantity
    -0.72
    CG
    -0.69
    åĤ
    -0.69
    é¾į
    -0.69
     Marketable
    -0.68
    ãģĹ
    -0.67
     IMAGES
    -0.67
    DK
    -0.67
    POSITIVE LOGITS
    bing
    1.24
    bable
    1.03
    bish
    1.02
    bers
    1.01
    imore
    0.94
    strate
    0.90
     clubs
    0.89
    bed
    0.88
     club
    0.88
    mers
    0.87
    Activations Density 0.015%

    No Known Activations