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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. 0-RES-JB
    11. 14821
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    Explanations

    words in a specific language that involve acute accents

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the character 'ä' in various contexts

    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
     Dudley
    -0.79
     Georgetown
    -0.77
     terminal
    -0.71
     Scorp
    -0.69
     lucrative
    -0.68
     Commerce
    -0.67
     Wonder
    -0.67
     compounded
    -0.65
     Vernon
    -0.65
     Richmond
    -0.64
    POSITIVE LOGITS
    ä
    4.01
    ö
    2.12
    å
    2.02
    ü
    1.88
    æ
    1.71
    ön
    1.62
    ø
    1.60
    ör
    1.60
    ür
    1.58
     Finnish
    1.45
    Activations Density 0.013%

    No Known Activations