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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. 6-RES-JB
    6. 15890
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    INDEX
    Explanations

    word fragments, particularly names or terms with the letter sequence "yd"

    oai_token-act-pair · gpt-3.5-turbo

    the mention of locations, particularly cities and geographical references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ========
    -0.70
    ça
    -0.67
     FIRE
    -0.65
    TAIN
    -0.65
    fully
    -0.62
    voy
    -0.62
     deaf
    -0.62
    ãĥĪ
    -0.61
    Xi
    -0.61
     pity
    -0.60
    POSITIVE LOGITS
    aniel
    1.13
    ynamic
    1.01
    roid
    0.97
    ere
    0.97
    rox
    0.96
    essert
    0.96
    roxy
    0.95
    ynam
    0.95
    itions
    0.94
    elta
    0.93
    Activations Density 0.013%

    No Known Activations