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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. 7-RES-JB
    11. 15278
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    Explanations

    proper nouns and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to absence or lack of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jar
    -0.59
    pler
    -0.59
    rb
    -0.59
    iev
    -0.58
    ction
    -0.57
    fell
    -0.56
    nesty
    -0.56
    anes
    -0.55
    id
    -0.54
    uri
    -0.54
    POSITIVE LOGITS
     etc
    0.85
     assorted
    0.83
    etc
    0.81
     businessmen
    0.66
     mayors
    0.62
     Fortune
    0.59
     weddings
    0.58
     embassies
    0.58
     postage
    0.57
     pestic
    0.57
    Activations Density 0.525%

    No Known Activations