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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. 6-RES-JB
    11. 20543
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    Explanations

    a specific combinations of characters or words that seem to be random

    oai_token-act-pair · gpt-3.5-turbo

    specific unique characters or symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wagen
    -0.91
    arton
    -0.87
    lycer
    -0.86
    vertisement
    -0.84
    glomer
    -0.84
    matically
    -0.83
    yrinth
    -0.82
    leground
    -0.82
    onomy
    -0.81
    uries
    -0.80
    POSITIVE LOGITS
    æľ
    1.25
    ãĤ
    1.23
    ãĤĭ
    1.23
    ãģĦ
    1.22
    ãģ¦
    1.19
    ãģª
    1.18
    è¦
    1.18
    ãģ
    1.17
    è¡
    1.15
    åı
    1.15
    Activations Density 0.009%

    No Known Activations