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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. 18807
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    Explanations

    abbreviations related to technology and data processing

    oai_token-act-pair · gpt-3.5-turbo

    references to "DP," likely indicating specific data points or metrics

    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
    glers
    -0.84
    taboola
    -0.78
    ton
    -0.76
    ãĤ¤ãĥĪ
    -0.74
    umn
    -0.74
    swick
    -0.73
    bee
    -0.73
    itud
    -0.70
    ãĥĥ
    -0.70
    combe
    -0.69
    POSITIVE LOGITS
    ressed
    1.02
    rint
    0.98
    olicy
    0.97
    onent
    0.88
    odcast
    0.87
    ORTS
    0.86
    arent
    0.85
    ablo
    0.82
    orter
    0.81
    ressing
    0.81
    Activations Density 0.006%

    No Known Activations