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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. 2-RES-JB
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    Explanations

    references to different types of clubs, such as billiards clubs, drinking clubs, coding clubs, etc

    oai_token-act-pair · gpt-3.5-turbo

    references to clubs and associated activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    å¦
    -0.85
    inventoryQuantity
    -0.75
    Accessory
    -0.73
    ãģĹ
    -0.66
     Marketable
    -0.66
    Proof
    -0.65
    ãĥ´
    -0.65
    Govern
    -0.65
    Depths
    -0.65
    é¾į
    -0.64
    POSITIVE LOGITS
    bing
    1.17
    bable
    1.11
     clubs
    1.01
    bers
    0.98
     club
    0.97
    bish
    0.90
    imore
    0.88
    club
    0.87
    illac
    0.85
     Club
    0.85
    Activations Density 0.015%

    No Known Activations