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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. 9-RES-JB
    11. 19451
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    Explanations

    words related to the concept of embedding

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to embedding within contexts or systems

    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
    ãĥ£
    -0.82
     Sabha
    -0.77
    Ń·
    -0.75
    veyard
    -0.75
    ãĥ¥
    -0.73
    apa
    -0.73
    boat
    -0.71
    §
    -0.69
    kee
    -0.69
    İ
    -0.68
    POSITIVE LOGITS
    ding
    0.96
     embedded
    0.95
    ded
    0.86
    tion
    0.81
    ible
    0.79
    edded
    0.77
    rained
    0.77
    ibly
    0.73
    rity
    0.71
    lycer
    0.71
    Activations Density 0.048%

    No Known Activations