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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. 7-RES-JB
    11. 7415
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    Explanations

    references to past occurrences or events

    oai_token-act-pair · gpt-3.5-turbo

    the word "in" indicating location or context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alogy
    -0.72
    ;;;;;;;;;;;;
    -0.71
     pardon
    -0.68
    Plot
    -0.66
    essel
    -0.65
    ((
    -0.64
    ĺħ
    -0.64
    /$
    -0.63
    /#
    -0.63
    onym
    -0.62
    POSITIVE LOGITS
    roads
    0.85
    animate
    0.72
    order
    0.71
    ties
    0.70
    sight
    0.70
     Forth
    0.70
    offensive
    0.70
    nov
    0.70
     1964
    0.67
    formed
    0.66
    Activations Density 0.056%

    No Known Activations