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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. 9-RES-JB
    11. 16612
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    Explanations

    references to rankings or finishes in a competition or class

    oai_token-act-pair · gpt-3.5-turbo

    text featuring repeated phrases or symbols that imply familiarity or emphasis

    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
    ãĥ¼ãĥĨ
    -0.84
    Buyable
    -0.78
     fortun
    -0.73
     Palest
    -0.69
    çīĪ
    -0.69
    imon
    -0.66
     Afric
    -0.65
     Tid
    -0.64
    ozy
    -0.64
    é¾įå¥ij士
    -0.64
    POSITIVE LOGITS
    ¿
    0.98
    ª
    0.92
    £
    0.91
    erest
    0.89
    º
    0.88
    ¼
    0.87
    ¡
    0.86
    Ķ
    0.85
    ¹
    0.84
    ¢
    0.83
    Activations Density 0.086%

    No Known Activations