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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. 15424
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    Explanations

    references to galleries

    oai_token-act-pair · gpt-3.5-turbo

    references to galleries or collections of images

    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
    ties
    -0.85
    sted
    -0.76
    aneously
    -0.68
    alities
    -0.65
    ially
    -0.64
    bek
    -0.63
    swe
    -0.63
    eering
    -0.62
    etheless
    -0.62
    ality
    -0.62
    POSITIVE LOGITS
     Thumbnails
    1.31
     gallery
    1.01
     exhibitions
    1.00
     galleries
    0.96
     exhibition
    0.94
    Gallery
    0.89
    gallery
    0.82
     showcasing
    0.82
    emis
    0.82
    entry
    0.79
    Activations Density 0.038%

    No Known Activations