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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. 5619
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    INDEX
    Explanations

    mathematical terms related to numbers, operations, and sequences

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical values and counts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    rador
    -0.85
    rait
    -0.77
    raits
    -0.75
    sels
    -0.75
    sbm
    -0.75
    INTON
    -0.73
    hire
    -0.72
    riot
    -0.70
    rend
    -0.68
    Mobil
    -0.68
    POSITIVE LOGITS
     milliseconds
    0.86
     digits
    0.86
     theorem
    0.82
    ames
    0.81
     comput
    0.80
     computation
    0.76
     1024
    0.75
     liter
    0.73
     Integer
    0.72
     decimal
    0.71
    Activations Density 0.040%

    No Known Activations