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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. 3630
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    Explanations

    dates in the month/day format

    oai_token-act-pair · gpt-3.5-turbo

    dates, particularly in March and April

    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
    lder
    -0.68
     sacrific
    -0.62
    BLIC
    -0.61
    opic
    -0.61
     knot
    -0.59
     elephant
    -0.55
     careless
    -0.54
     tox
    -0.54
     bung
    -0.54
     constitu
    -0.53
    POSITIVE LOGITS
     Madness
    1.34
     31
    1.06
    ing
    0.89
     26
    0.84
    inian
    0.84
     29
    0.83
     28
    0.81
     27
    0.81
     23
    0.81
    rake
    0.80
    Activations Density 0.031%

    No Known Activations