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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. 10-RES-JB
    11. 23464
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    INDEX
    Explanations

    personal details about individuals, such as favorite colors and toys

    oai_token-act-pair · gpt-3.5-turbo

    specific characteristics and preferences related to childhood

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.77
    pun
    -0.72
    exclusive
    -0.70
    iak
    -0.64
    ateurs
    -0.64
    nesty
    -0.63
     counterparts
    -0.63
    iliated
    -0.63
    Sources
    -0.62
    stood
    -0.62
    POSITIVE LOGITS
     groceries
    1.30
     grocery
    1.09
     pizza
    1.09
     sushi
    1.05
     haircut
    1.04
     refrigerator
    1.02
     shampoo
    1.02
     hamb
    1.02
     waiter
    1.00
     restaurant
    1.00
    Activations Density 0.892%

    No Known Activations