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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. 15658
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    Explanations

    terms related to farming or growing crops

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "cultivation" and its variations, indicating a focus on agricultural or botanical practices

    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
    ENA
    -0.72
    boa
    -0.66
    reme
    -0.63
    onement
    -0.63
    awed
    -0.62
    present
    -0.62
    POS
    -0.62
    asking
    -0.60
     restitution
    -0.60
    quartered
    -0.59
    POSITIVE LOGITS
     cultivate
    0.98
     cultivation
    0.96
    ivating
    0.93
     cultiv
    0.88
     cultivating
    0.86
     Farming
    0.86
     cultivated
    0.82
     farms
    0.81
    ivas
    0.78
     gardens
    0.78
    Activations Density 0.015%

    No Known Activations