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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. 9380
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    Explanations

    phrases related to cooking instructions

    oai_token-act-pair · gpt-3.5-turbo

    cooking instructions involving durations and methods

    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
    é¾
    -0.58
     Spoiler
    -0.57
    isphere
    -0.56
    href
    -0.52
    acebook
    -0.51
    Strange
    -0.50
    ourced
    -0.50
    halla
    -0.49
     scholarship
    -0.49
     legitimately
    -0.49
    POSITIVE LOGITS
     approx
    0.92
     30
    0.91
     45
    0.90
     5
    0.88
     15
    0.86
     approximately
    0.84
     20
    0.83
     10
    0.83
     ½
    0.82
     about
    0.80
    Activations Density 0.060%

    No Known Activations