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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. 24218
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    Explanations

    the word "element" followed by a number, possibly referencing a specific attribute or component in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to elements in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    sburgh
    -0.79
    ceed
    -0.74
    lishing
    -0.73
    rontal
    -0.72
    ctors
    -0.72
    spe
    -0.70
     VIDEOS
    -0.69
    lisher
    -0.69
    figured
    -0.68
    zee
    -0.68
    POSITIVE LOGITS
    als
    0.96
    ality
    0.85
     elements
    0.82
    ARY
    0.81
    aries
    0.80
    alling
    0.79
    ally
    0.77
    arium
    0.77
    witz
    0.77
    alogy
    0.77
    Activations Density 0.027%

    No Known Activations