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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. 3780
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    Explanations

    words related to online platforms and interactions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "on"

    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
    htaking
    -0.68
    ylum
    -0.67
    mere
    -0.65
    imilation
    -0.63
    ¯¯
    -0.63
    auga
    -0.62
    ç¥ŀ
    -0.62
    arnaev
    -0.61
    ptive
    -0.60
    ensitive
    -0.60
    POSITIVE LOGITS
     reddit
    1.31
     youtube
    1.28
     facebook
    1.26
     twitter
    1.22
     Github
    1.21
     github
    1.19
     behalf
    1.18
     Reddit
    1.18
     Youtube
    1.17
     GitHub
    1.13
    Activations Density 0.136%

    No Known Activations