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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. 3-RES-JB
    11. 18030
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    INDEX
    Explanations

    percentages within a text

    oai_token-act-pair · gpt-3.5-turbo

    references to percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arium
    -0.81
     Leilan
    -0.77
     Dracula
    -0.75
    hound
    -0.74
     Hercules
    -0.74
    ARDIS
    -0.74
     Valhalla
    -0.71
     Ruk
    -0.69
     Lazarus
    -0.68
    OHN
    -0.68
    POSITIVE LOGITS
     capita
    1.29
    malink
    1.00
    ishable
    0.97
    uvian
    0.88
    due
    0.87
    missive
    0.87
     cent
    0.85
    manent
    0.83
    secution
    0.83
    missible
    0.83
    Activations Density 0.029%

    No Known Activations