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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. 4044
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    Explanations

    quantities expressed in gallons

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities related to water or liquid measurements

    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
    eering
    -0.80
     Fram
    -0.74
    eer
    -0.72
     skelet
    -0.69
    eve
    -0.66
    Blade
    -0.64
     promise
    -0.64
     Cron
    -0.63
    vertis
    -0.63
    âĸ¬
    -0.63
    POSITIVE LOGITS
     gallons
    1.19
     litres
    1.08
     gallon
    0.98
     jug
    0.89
     barrels
    0.83
     containers
    0.82
    wagen
    0.82
    weed
    0.80
     buckets
    0.80
     closet
    0.78
    Activations Density 0.010%

    No Known Activations