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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. 8-RES-JB
    11. 14496
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    Explanations

    decimal numbers

    oai_token-act-pair · gpt-3.5-turbo

    instances of strong emotional responses or dramatic statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     commissions
    -0.74
     staggered
    -0.72
     samurai
    -0.71
     distilled
    -0.71
     joints
    -0.71
    utsche
    -0.70
    ĪĴ
    -0.70
     flavored
    -0.70
     synerg
    -0.69
     honored
    -0.68
    POSITIVE LOGITS
    Read
    1.30
    Advertisement
    1.24
    However
    1.23
    "(
    1.23
    Asked
    1.22
    Refer
    1.22
    >>>
    1.21
    "[
    1.20
    "
    1.17
    Writing
    1.17
    Activations Density 0.103%

    No Known Activations