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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    INDEX
    Explanations

    mentions of the word "water."

    oai_token-act-pair · gpt-3.5-turbo

    references to water

    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
    interstitial
    -0.75
    ;;;;;;;;
    -0.74
    IGN
    -0.74
     Advent
    -0.70
    acker
    -0.69
     Fn
    -0.68
     Patton
    -0.67
     Kaufman
    -0.67
    frame
    -0.66
    actionDate
    -0.66
    POSITIVE LOGITS
     water
    3.39
    water
    2.57
    Water
    2.55
     Water
    2.47
     waters
    1.97
     freshwater
    1.93
     groundwater
    1.92
     waterways
    1.65
     watering
    1.62
    waters
    1.55
    Activations Density 0.029%

    No Known Activations