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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. 3-RES-JB
    11. 3245
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    Explanations

    phrases related to different aspects of policy and decision-making

    oai_token-act-pair · gpt-3.5-turbo

    sentences that end with a period

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     mosqu
    -0.75
     challeng
    -0.71
     predec
    -0.68
     tyr
    -0.63
     nodd
    -0.63
     defe
    -0.63
    uly
    -0.62
     metic
    -0.62
     explan
    -0.62
     proport
    -0.60
    POSITIVE LOGITS
     However
    0.99
     Additionally
    0.95
     Unfortunately
    0.95
     They
    0.93
     Besides
    0.91
     Their
    0.91
     Likewise
    0.91
     Specifically
    0.90
     Moreover
    0.90
     Fortunately
    0.89
    Activations Density 1.450%

    No Known Activations