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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. 9-RES-JB
    11. 13867
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    Explanations

    special characters or formatting elements

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical data and metadata related to media, particularly in a structured format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     droid
    -0.69
     pigeon
    -0.62
     jumper
    -0.62
     vet
    -0.62
     imperson
    -0.60
     lull
    -0.60
     thirsty
    -0.59
     vets
    -0.59
     brick
    -0.59
     grooming
    -0.59
    POSITIVE LOGITS
    ================================================================
    0.95
    âĵĺ
    0.92
    Introduced
    0.87
    052
    0.86
    aughs
    0.85
    ³³³³
    0.81
    ategories
    0.80
    ãĤ¨ãĥ«
    0.80
    EGIN
    0.80
    Associated
    0.78
    Activations Density 0.209%

    No Known Activations