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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. 3-RES-JB
    11. 13603
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    Explanations

    operators in mathematical expressions and the relationships between operators and operands in programming contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to programming operators and their functionality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    gur
    -0.82
    taboola
    -0.75
    PROV
    -0.73
    HCR
    -0.72
    ACTED
    -0.72
    BAT
    -0.71
    psc
    -0.71
    tumblr
    -0.69
    usc
    -0.69
    shed
    -0.68
    POSITIVE LOGITS
     comma
    1.00
     hex
    0.96
     bits
    0.90
     integers
    0.89
     integer
    0.88
    Mask
    0.84
     hashes
    0.84
     algebra
    0.83
     lookup
    0.83
     decimal
    0.82
    Activations Density 0.181%

    No Known Activations