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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. 5940
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    Explanations

    references to scientific publications

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and the frequency of commas in scientific publications and studies

    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
     forgetting
    -0.75
     goodbye
    -0.64
    worldly
    -0.64
     hating
    -0.63
     alright
    -0.63
     liking
    -0.62
     ðŁĻĤ
    -0.59
    Russ
    -0.58
     messing
    -0.58
    âĶĢâĶĢâĶĢâĶĢ
    -0.56
    POSITIVE LOGITS
     alleges
    0.96
     involves
    0.91
     illustrates
    0.91
     underscores
    0.89
     allows
    0.85
     depicts
    0.85
     outlines
    0.85
     consisted
    0.85
     focuses
    0.85
     describes
    0.83
    Activations Density 0.166%

    No Known Activations