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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. 7-RES-JB
    11. 17786
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    Explanations

    tech-related information and measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to nutritional values and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heit
    -0.67
    _>
    -0.60
    asar
    -0.60
    lich
    -0.60
     tranquil
    -0.59
     Wol
    -0.59
     Spiel
    -0.59
    owship
    -0.58
     Schultz
    -0.58
     Hunger
    -0.58
    POSITIVE LOGITS
     increments
    0.80
     Tradable
    0.70
     verse
    0.70
    66666666
    0.67
    ĵĺ
    0.64
     multiplier
    0.64
    uple
    0.62
    utan
    0.60
    Initialized
    0.60
    Ultra
    0.59
    Activations Density 0.712%

    No Known Activations