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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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    Explanations

    the word "le" with different levels of activation

    oai_token-act-pair · gpt-3.5-turbo

    the word "le" and its various forms or occurrences

    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
     Shogun
    -0.68
     Skydragon
    -0.66
    ħĭ
    -0.65
    ODUCT
    -0.62
     internationally
    -0.59
     Advocate
    -0.57
     annex
    -0.57
     guiActiveUnfocused
    -0.56
     consciousness
    -0.55
     DMV
    -0.55
    POSITIVE LOGITS
    le
    4.05
    LE
    2.09
    les
    2.03
    lez
    1.78
    lein
    1.73
    lé
    1.72
    leon
    1.66
    lem
    1.66
    led
    1.52
    lement
    1.48
    Activations Density 0.023%

    No Known Activations