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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. 2-RES-JB
    11. 6636
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    Explanations

    dates in the format of day/month/year

    oai_token-act-pair · gpt-3.5-turbo

    dates in a specific format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andise
    -0.74
     reluct
    -0.72
     streng
    -0.72
     ridic
    -0.71
     exha
    -0.71
     tremend
    -0.70
     ende
    -0.70
     notor
    -0.70
     sensit
    -0.69
     livest
    -0.69
    POSITIVE LOGITS
    00
    1.16
    01
    0.98
    08
    0.98
    -+
    0.95
    06
    0.94
    05
    0.91
    09
    0.91
    07
    0.90
    004
    0.87
    003
    0.87
    Activations Density 0.012%

    No Known Activations