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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. 2-RES-JB
    11. 18878
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    INDEX
    Explanations

    the word "necessarily"

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing uncertainty or qualifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sel
    -0.76
    banks
    -0.76
    tein
    -0.72
    ERAL
    -0.71
    DL
    -0.69
    iry
    -0.68
     Tate
    -0.68
    ller
    -0.66
    board
    -0.64
     Lif
    -0.64
    POSITIVE LOGITS
     necess
    1.03
     necessarily
    0.99
     guiActiveUn
    0.90
     obliged
    0.89
     compelled
    0.86
     appre
    0.79
     detract
    0.79
     cumbers
    0.78
     identifiable
    0.77
    entimes
    0.77
    Activations Density 0.007%

    No Known Activations