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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. 8966
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    Explanations

    numeric calculations and mathematical operations

    oai_token-act-pair · gpt-3.5-turbo

    mathematical expressions and operations

    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
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    Negative Logits
     nods
    -0.78
     talks
    -0.70
     safeguards
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     unmist
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     gestures
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     veins
    -0.65
     compromises
    -0.65
    ersen
    -0.65
    sburg
    -0.65
     Talks
    -0.64
    POSITIVE LOGITS
    ((
    1.19
    (-
    1.09
    10000
    1.01
    math
    1.01
    total
    0.99
    Math
    0.98
    1000
    0.98
    frac
    0.95
     $(
    0.95
    sin
    0.94
    Activations Density 0.107%

    No Known Activations