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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. 11-RES-JB
    11. 6132
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    INDEX
    Explanations

    descriptions of technological advancements

    oai_token-act-pair · gpt-3.5-turbo

    attributes related to advanced technology and performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    details
    -0.75
    oris
    -0.71
     Anniversary
    -0.70
    orsi
    -0.67
    tones
    -0.66
    ãĥ¼ãĥĨãĤ£
    -0.66
     Frie
    -0.66
    lished
    -0.65
    çļ
    -0.65
    çīĪ
    -0.64
    POSITIVE LOGITS
     able
    1.50
     capable
    1.38
     scalable
    1.33
     compatible
    1.27
     resistant
    1.27
     versatile
    1.23
     efficient
    1.22
     resilient
    1.22
     durable
    1.19
     easier
    1.19
    Activations Density 0.256%

    No Known Activations