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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. 1-RES-JB
    11. 2612
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    Explanations

    references to a specific location named "Beaufort"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of locations or geographical features, specifically related to the Beaufort Sea

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Shard
    -0.75
     Cells
    -0.69
    ature
    -0.65
     Cell
    -0.64
     bribes
    -0.63
    arial
    -0.62
    yrinth
    -0.61
    ogenic
    -0.61
    Cell
    -0.60
    ocene
    -0.60
    POSITIVE LOGITS
    ignty
    1.02
    lette
    0.87
    auld
    0.84
    ignt
    0.82
    EStream
    0.81
     advoc
    0.78
    cham
    0.77
    lly
    0.77
    berra
    0.76
    lder
    0.76
    Activations Density 0.030%

    No Known Activations