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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. 5636
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    Explanations

    media captions, especially related to news stories

    oai_token-act-pair · gpt-3.5-turbo

    references to media-related content

    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
    clus
    -0.80
     SOM
    -0.65
    bats
    -0.64
    comed
    -0.62
    mone
    -0.62
    0000000000000000
    -0.61
    manship
    -0.60
     Sapp
    -0.60
     polyg
    -0.59
     Thousand
    -0.59
    POSITIVE LOGITS
     caption
    1.23
     playback
    0.97
     Coverage
    0.72
     Blend
    0.68
     slideshow
    0.66
    Image
    0.64
     WATCHED
    0.63
     codec
    0.63
    imedia
    0.62
     ||
    0.62
    Activations Density 0.007%

    No Known Activations