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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. 9-RES-JB
    11. 1590
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    Explanations

    phrases related to the process of coming into existence or gaining knowledge/information

    oai_token-act-pair · gpt-3.5-turbo

    phrases that explore the origins or emergence of ideas and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bill
    -0.70
    avis
    -0.66
    illation
    -0.66
    lication
    -0.62
    arrell
    -0.59
    arge
    -0.58
    ORT
    -0.57
    ixon
    -0.57
    orde
    -0.56
    abuse
    -0.56
    POSITIVE LOGITS
    zsche
    0.72
    ety
    0.68
    ा
    0.67
    antics
    0.65
    oslov
    0.63
    ename
    0.63
    !/
    0.62
    irtual
    0.61
    itized
    0.61
     Suc
    0.60
    Activations Density 0.173%

    No Known Activations