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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 13916
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    Explanations

    proper names or surnames

    oai_token-act-pair · gpt-3.5-turbo

    frequent names or words related to personal identification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.84
    ħĭ
    -0.74
    ĸļ
    -0.72
     backlog
    -0.66
    Õ
    -0.66
    Ͻ
    -0.65
    DAQ
    -0.65
    wcs
    -0.64
    İĭ
    -0.63
    çīĪ
    -0.62
    POSITIVE LOGITS
    ruary
    1.13
    ascript
    0.95
    renheit
    0.93
    gerald
    0.85
    owship
    0.83
    illet
    0.79
    ilon
    0.76
    ilies
    0.76
    acci
    0.75
    ilial
    0.73
    Activations Density 0.089%

    No Known Activations