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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. 6-RES-JB
    11. 9884
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    Explanations

    lists or discussions of pros and cons

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "pros" and "cons"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gments
    -0.75
    ashes
    -0.73
    ãģ®å®
    -0.70
     Surface
    -0.67
     voucher
    -0.65
     Waters
    -0.62
     Frie
    -0.61
     Drift
    -0.58
     Illum
    -0.58
     Wick
    -0.57
    POSITIVE LOGITS
    aic
    1.18
    ocial
    1.02
    umers
    1.00
    umer
    0.98
    daq
    0.87
    heet
    0.86
    pei
    0.84
    leep
    0.82
    ky
    0.82
    odic
    0.81
    Activations Density 0.028%

    No Known Activations