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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. 3-RES-JB
    11. 23557
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    INDEX
    Explanations

    phrases related to plant-based topics or ingredients

    oai_token-act-pair · gpt-3.5-turbo

    mentions of plants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xus
    -0.88
    vernment
    -0.84
    */(
    -0.83
    cffff
    -0.79
     reluct
    -0.74
    yip
    -0.73
    ROR
    -0.73
    xes
    -0.72
    bled
    -0.71
    bles
    -0.70
    POSITIVE LOGITS
    ronics
    0.96
     plants
    0.95
    plant
    0.90
     plant
    0.88
    yard
    0.80
    itary
    0.79
     Plants
    0.78
     Plant
    0.77
    yards
    0.75
     planting
    0.75
    Activations Density 0.010%

    No Known Activations