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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. 4-RES-JB
    11. 11374
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    Explanations

    quantitative data related to different parameters or activities

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to various topics

    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
    Not in Any Lists

    No Comments

    Negative Logits
    idon
    -0.79
    roth
    -0.75
    unity
    -0.74
    odox
    -0.73
    robat
    -0.69
    kat
    -0.69
    onsense
    -0.68
     eleg
    -0.68
    sonian
    -0.67
    çīĪ
    -0.67
    POSITIVE LOGITS
     (%
    0.94
    Average
    0.93
     Median
    0.92
     Percentage
    0.91
     polled
    0.86
     Average
    0.86
     averaged
    0.86
     surveyed
    0.85
     Percent
    0.85
     households
    0.83
    Activations Density 1.009%

    No Known Activations