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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21299
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    Explanations

    translations or references to translated materials

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "translated" and variations of translation-related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ndra
    -0.89
    achine
    -0.79
     Peb
    -0.76
    poral
    -0.73
    dinand
    -0.70
    etheus
    -0.69
    emetery
    -0.69
    ucket
    -0.69
     Gamble
    -0.69
    --+
    -0.68
    POSITIVE LOGITS
     translations
    0.96
     translation
    0.96
     translator
    0.92
    translation
    0.87
     into
    0.86
     transl
    0.85
     subtitles
    0.84
     translated
    0.83
    into
    0.82
    lator
    0.81
    Activations Density 0.043%

    No Known Activations