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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. 4-RES-JB
    11. 15661
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    Explanations

    strings of characters that don't appear to form meaningful words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    sequences of special characters or symbols

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

    No Comments

    Negative Logits
    cius
    -0.87
    orsche
    -0.82
    lycer
    -0.80
    etsk
    -0.79
    arton
    -0.79
    cellence
    -0.75
    ichita
    -0.74
    uine
    -0.73
    iche
    -0.73
    onics
    -0.73
    POSITIVE LOGITS
    ãĤī
    1.72
    ãģ¾
    1.67
    ãģ
    1.67
    ãĤĭ
    1.66
    ãĤ
    1.65
    ãģĦ
    1.62
    ãģŁ
    1.59
    ãģ¦
    1.53
    ãĤĵ
    1.50
    ãĤĮ
    1.49
    Activations Density 0.008%

    No Known Activations