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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. 8-RES-JB
    11. 12593
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    INDEX
    Explanations

    sequences with a chronological or sequential pattern

    oai_token-act-pair · gpt-3.5-turbo

    moments of sudden action or unexpected events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     preserving
    -0.75
     extensively
    -0.72
    often
    -0.70
     Historically
    -0.65
    eret
    -0.65
     currently
    -0.64
     primarily
    -0.64
    quartered
    -0.63
     reliant
    -0.61
     nom
    -0.61
    POSITIVE LOGITS
    uddenly
    1.06
    Suddenly
    1.01
     suddenly
    1.01
     abruptly
    1.00
     Suddenly
    0.99
     earthqu
    0.93
     realization
    0.87
     unexpectedly
    0.87
     mysteriously
    0.84
     disappears
    0.84
    Activations Density 0.542%

    No Known Activations