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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. 1-RES-JB
    11. 6715
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    Explanations

    loading messages in a text format

    oai_token-act-pair · gpt-3.5-turbo

    references to loading or processing states in digital content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stood
    -0.86
    hips
    -0.74
    kaya
    -0.74
    von
    -0.69
    tein
    -0.67
    ked
    -0.65
    SHIP
    -0.64
    abol
    -0.63
    jury
    -0.63
    stand
    -0.62
    POSITIVE LOGITS
     Loading
    1.42
    Loading
    0.91
    artifacts
    0.91
     Load
    0.87
     loads
    0.86
    load
    0.81
     Thumbnails
    0.81
     loading
    0.79
     Rooms
    0.77
     load
    0.76
    Activations Density 0.008%

    No Known Activations