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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. 10-RES-JB
    11. 12457
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    Explanations

    phrases related to ensuring or monitoring something

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing assurance and certainty regarding conditions or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igmatic
    -0.73
    ivalent
    -0.72
    ãĤ¼ãĤ¦ãĤ¹
    -0.72
    inez
    -0.69
    efer
    -0.68
    Plus
    -0.67
    apult
    -0.67
    yp
    -0.66
    ãĤ»
    -0.65
    ngth
    -0.65
    POSITIVE LOGITS
     everyone
    1.05
     everything
    0.99
     nobody
    0.96
     everybody
    0.96
     every
    0.92
     whoever
    0.88
     EVERY
    0.88
     none
    0.88
     wherever
    0.88
     whenever
    0.84
    Activations Density 0.102%

    No Known Activations