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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. 3099
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    Explanations

    words related to historical figures and events

    oai_token-act-pair · gpt-3.5-turbo

    names of historical figures and events

    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
    Reviewer
    -0.97
    rongh
    -0.70
    yip
    -0.65
     notor
    -0.62
     pestic
    -0.59
     metic
    -0.58
    eatures
    -0.57
     merits
    -0.57
     recounts
    -0.57
    inding
    -0.57
    POSITIVE LOGITS
     ..............
    1.09
     0
    1.04
     ??
    0.94
     1
    0.89
     ........
    0.88
     31
    0.88
     2
    0.87
     00000000
    0.87
     ..........
    0.86
     37
    0.86
    Activations Density 0.199%

    No Known Activations