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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
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    Explanations

    the word "silent" followed by a number indicating the intensity of silence

    oai_token-act-pair · gpt-3.5-turbo

    references to silence or the act of being silent

    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
    hews
    -0.73
    sych
    -0.73
    ramid
    -0.71
    isin
    -0.71
    akeru
    -0.70
    lay
    -0.68
    lete
    -0.66
    arthy
    -0.66
    GB
    -0.65
    anners
    -0.64
    POSITIVE LOGITS
     silent
    0.92
     bystand
    0.87
     breathing
    0.75
     partName
    0.75
     silence
    0.74
    encing
    0.74
     Silence
    0.73
     cooker
    0.73
     vigil
    0.72
     mute
    0.71
    Activations Density 0.009%

    No Known Activations