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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. 10-RES-JB
    11. 12584
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    Explanations

    phrases related to things, people, or places that are well-known or famous

    oai_token-act-pair · gpt-3.5-turbo

    expressions of what individuals or entities are "known for" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ONY
    -0.66
    akings
    -0.65
    ework
    -0.63
    ĪĴ
    -0.62
    tein
    -0.62
    plet
    -0.62
    yip
    -0.61
    urus
    -0.59
    hire
    -0.58
    atto
    -0.58
    POSITIVE LOGITS
     internationally
    1.00
     fond
    0.96
     for
    0.92
     locally
    0.91
     chiefly
    0.88
     nationally
    0.86
     anecd
    0.86
     worldwide
    0.85
     globally
    0.85
     professionally
    0.83
    Activations Density 0.069%

    No Known Activations