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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. 7-RES-JB
    11. 21423
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    Explanations

    phrases with the word 'que'

    oai_token-act-pair · gpt-3.5-turbo

    interrogative phrases or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¼ãĤ¦ãĤ¹
    -0.84
    ERAL
    -0.77
    ronics
    -0.70
    MIN
    -0.67
    anmar
    -0.66
    ARC
    -0.65
    rition
    -0.63
    uania
    -0.62
    OUND
    -0.62
    sonian
    -0.62
    POSITIVE LOGITS
    ued
    1.04
    uing
    1.03
    erness
    1.00
    que
    0.90
     Que
    0.90
    uers
    0.87
    zar
    0.83
    ep
    0.83
    ues
    0.83
    asy
    0.82
    Activations Density 0.017%

    No Known Activations