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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. 9-RES-JB
    6. 22015
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    Explanations

    phrases related to financial transactions or monetary rewards

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to financial incentives and outcomes

    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
     purported
    -0.59
    ighed
    -0.58
    gerald
    -0.54
    Ĭ±
    -0.53
    ĸļ
    -0.53
    ONSORED
    -0.52
     supplemented
    -0.50
    hawks
    -0.49
    Translation
    -0.49
     instituted
    -0.49
    POSITIVE LOGITS
     yourself
    1.69
     yourselves
    1.46
     your
    1.33
     Yourself
    1.26
    your
    1.14
     YOUR
    1.12
    Your
    1.10
     Your
    1.07
     yours
    0.90
     ;)
    0.64
    Activations Density 0.937%

    No Known Activations