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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. 10-RES-JB
    6. 115
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    Explanations

    quotations within text

    oai_token-act-pair · gpt-3.5-turbo

    quoted speech or dialogue within the text

    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
    ãĥij
    -0.98
    etheless
    -0.89
    ~~~~
    -0.85
    £ı
    -0.84
    NetMessage
    -0.81
    DragonMagazine
    -0.79
    ãĤ¦ãĤ¹
    -0.76
    soDeliveryDate
    -0.76
    ĻĤ
    -0.75
    XXX
    -0.74
    POSITIVE LOGITS
     said
    1.51
    said
    1.30
     says
    1.24
     joked
    1.21
     remarked
    1.20
     commented
    1.14
     exclaimed
    1.10
     explained
    1.08
     wrote
    1.07
     lamented
    1.03
    Activations Density 0.090%

    No Known Activations