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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. 20490
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    Explanations

    phrases related to captions or advertisement messages

    oai_token-act-pair · gpt-3.5-turbo

    references to content titles or captions associated with Netflix shows or movies

    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
    ©¶æ
    -0.79
    isSpecial
    -0.77
    oreAnd
    -0.75
    aditional
    -0.75
     oun
    -0.72
    Ă
    -0.71
    À
    -0.71
    ò
    -0.71
    ą
    -0.71
    ö
    -0.70
    POSITIVE LOGITS
     caption
    0.82
     Gallery
    0.74
     Caption
    0.71
     Sketch
    0.68
     Photos
    0.67
     embed
    0.66
     slideshow
    0.65
     attm
    0.65
     guiName
    0.64
     Prev
    0.64
    Activations Density 0.038%

    No Known Activations