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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. 4-RES-JB
    11. 15523
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    Explanations

    plants and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of plants

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

    No Comments

    Negative Logits
    xus
    -0.83
    vernment
    -0.81
    yip
    -0.79
    deen
    -0.78
    cffffcc
    -0.78
    xes
    -0.77
    alty
    -0.77
    */(
    -0.77
    DOS
    -0.76
    cade
    -0.75
    POSITIVE LOGITS
     plants
    1.14
     plant
    0.94
     Plants
    0.93
    ronics
    0.90
     vegetation
    0.89
     gardens
    0.86
     foliage
    0.86
     seeds
    0.85
    plant
    0.84
     vegetables
    0.82
    Activations Density 0.017%

    No Known Activations