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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. 9-RES-JB
    11. 17218
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    Explanations

    introductory phrases to show the beginning of a section or article

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "In 1" indicating specific references or examples

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unemploy
    -0.69
     behav
    -0.68
     outwe
    -0.66
     nailed
    -0.64
     distur
    -0.62
     implanted
    -0.61
     istg
    -0.60
     expelled
    -0.60
     vulner
    -0.60
     dam
    -0.59
    POSITIVE LOGITS
    ventory
    1.64
    cluding
    1.50
    strument
    1.42
    cluded
    1.37
    spect
    1.35
    vasive
    1.33
    clude
    1.32
    visible
    1.30
    come
    1.30
    jury
    1.30
    Activations Density 0.108%

    No Known Activations