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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. 0-RES-JB
    11. 1405
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    Explanations

    words related to gardening or watering plants

    oai_token-act-pair · gpt-3.5-turbo

    references to lawn watering practices and regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ardon
    -0.77
    uton
    -0.76
    acers
    -0.75
     calves
    -0.72
    ioned
    -0.72
    icht
    -0.71
    ione
    -0.71
    interstitial
    -0.71
    enf
    -0.71
    ateur
    -0.70
    POSITIVE LOGITS
     watering
    1.14
    Magikarp
    0.67
     Hud
    0.67
    FLAG
    0.66
    OPLE
    0.66
    POL
    0.64
     IPM
    0.64
    Dialog
    0.62
     Limits
    0.62
     preferences
    0.61
    Activations Density 0.001%

    No Known Activations