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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. 17110
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    Explanations

    keywords related to video tags and technical issues

    oai_token-act-pair · gpt-3.5-turbo

    references to video content and its compatibility with web browsers

    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
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    No Comments

    Negative Logits
     horm
    -0.66
    clusive
    -0.63
    gettable
    -0.61
    stress
    -0.60
    schild
    -0.60
    rolog
    -0.59
    estern
    -0.59
    orah
    -0.59
    untled
    -0.58
    rum
    -0.57
    POSITIVE LOGITS
    iframe
    0.78
     HTML
    0.74
    interstitial
    0.70
    tml
    0.65
    cript
    0.62
     Content
    0.59
    video
    0.59
     1280
    0.59
     Binding
    0.59
    irlf
    0.58
    Activations Density 0.071%

    No Known Activations