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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. 4-RES-JB
    11. 20602
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    Explanations

    phrases related to lines of concepts or reasoning

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the term "line of" followed by various interpretations or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     tremend
    -0.91
    »Ĵ
    -0.80
    ©¶æ¥µ
    -0.74
    DAY
    -0.71
    fml
    -0.69
     srfAttach
    -0.68
    ashtra
    -0.67
    è¦ļéĨĴ
    -0.65
     sqor
    -0.65
    ãĤ®
    -0.64
    POSITIVE LOGITS
     scrimmage
    0.74
    voy
    0.65
    visors
    0.65
    backer
    0.64
     descent
    0.64
    enburg
    0.64
    vir
    0.62
     excellence
    0.62
    vision
    0.62
     Gemini
    0.61
    Activations Density 0.142%

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