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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. 4-RES-JB
    6. 10187
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    oai_token-act-pair · gpt-3.5-turbo

    date and time formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     accus
    -0.76
    lain
    -0.69
    izon
    -0.68
    CLUD
    -0.65
    anova
    -0.64
    INO
    -0.63
    ANT
    -0.62
    obar
    -0.61
    antry
    -0.61
    ople
    -0.61
    POSITIVE LOGITS
    å¹
    0.83
    released
    0.67
    01
    0.67
     onwards
    0.67
    release
    0.67
    02
    0.66
    election
    0.65
     edition
    0.65
    etheus
    0.63
    20439
    0.63
    Activations Density 0.156%

    No Known Activations