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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. 0-RES-JB
    11. 9521
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    Explanations

    text related to editing or describing the contents of something

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "contents."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lyft
    -0.66
    ARP
    -0.64
     Romero
    -0.63
    adi
    -0.63
     Mend
    -0.61
    bo
    -0.61
     Geh
    -0.60
    swing
    -0.59
    fit
    -0.58
    ada
    -0.58
    POSITIVE LOGITS
     contents
    3.85
     Contents
    2.26
     content
    1.85
     Content
    1.39
    content
    1.36
    Content
    1.16
     workings
    1.11
     occupants
    1.09
     entirety
    1.09
     containing
    1.04
    Activations Density 0.012%

    No Known Activations