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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. 11-RES-JB
    11. 16297
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    Explanations

    dates in the format "Month Day"

    oai_token-act-pair · gpt-3.5-turbo

    specific dates mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.88
    eatures
    -0.66
     predec
    -0.65
     exha
    -0.63
     arrang
    -0.62
     denomin
    -0.59
     hob
    -0.59
    inctions
    -0.58
     withd
    -0.57
     bod
    -0.57
    POSITIVE LOGITS
    au
    1.12
    eteenth
    1.01
     29
    0.99
    bug
    0.99
     28
    0.96
     27
    0.94
     30
    0.94
     26
    0.94
     23
    0.93
     22
    0.90
    Activations Density 0.047%

    No Known Activations