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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. 8-RES-JB
    11. 6102
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    Explanations

    phrases containing the words "before and after"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the words "before" and "after" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Petr
    -0.73
    WARE
    -0.69
    illi
    -0.68
     Registry
    -0.66
    itar
    -0.64
     DRAG
    -0.63
     Kard
    -0.62
     Journals
    -0.62
     Rocks
    -0.60
    stocks
    -0.60
    POSITIVE LOGITS
    present
    0.79
    ecycle
    0.78
     aft
    0.75
    asus
    0.72
    past
    0.69
     Thumbnails
    0.68
    displayText
    0.67
    Interstitial
    0.67
    Ô
    0.67
     hereafter
    0.67
    Activations Density 0.116%

    No Known Activations