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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. 10-RES-JB
    11. 12335
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    Explanations

    names or keywords related to various individuals

    oai_token-act-pair · gpt-3.5-turbo

    names and surnames of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CPC
    -0.62
     exception
    -0.59
    âĶĢâĶĢ
    -0.59
     Thieves
    -0.58
    ACTED
    -0.56
    ··
    -0.56
     supers
    -0.55
     kittens
    -0.55
     strategically
    -0.54
     loyalty
    -0.54
    POSITIVE LOGITS
    reau
    0.99
    ierrez
    0.96
    anan
    0.95
    ardi
    0.95
    endi
    0.94
    iani
    0.92
    bia
    0.89
    hardt
    0.89
    rek
    0.86
    enz
    0.86
    Activations Density 0.111%

    No Known Activations