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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
    11. 15980
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    Explanations

    references to planting or sowing seeds

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of seeds

    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
    ufact
    -0.72
    olulu
    -0.69
    naissance
    -0.69
    ctic
    -0.68
    cedented
    -0.68
     casualty
    -0.66
    ĺħ
    -0.65
    ardy
    -0.65
    urches
    -0.65
    inez
    -0.65
    POSITIVE LOGITS
     Seeds
    1.24
     seeds
    1.11
    seed
    1.06
     seed
    0.93
     planted
    0.91
    lings
    0.84
     grains
    0.81
    fruit
    0.80
    ãĥĹ
    0.80
    icons
    0.79
    Activations Density 0.006%

    No Known Activations