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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. 8-RES-JB
    6. 14623
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    the presence of specific symbols or indicators of the end of a document or section

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ment
    -0.63
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.62
     exha
    -0.61
     quotes
    -0.59
     destro
    -0.58
     cannabin
    -0.58
    ãĥĨãĤ£
    -0.57
     Hond
    -0.57
    Ĥİ
    -0.57
    ħĭ
    -0.57
    POSITIVE LOGITS
    ARGET
    1.46
    olerance
    1.27
    ribute
    1.26
    ruly
    1.24
    reatment
    1.22
    ottenham
    1.22
    ractor
    1.21
    ributes
    1.21
    URN
    1.19
    ension
    1.17
    Activations Density 0.051%

    No Known Activations