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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. 3-RES-JB
    11. 15663
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    Explanations

    phrases related to future predictions or possibilities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to future predictions and possibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    cius
    -0.91
    rosse
    -0.78
    cart
    -0.76
    rams
    -0.74
    mir
    -0.74
    eries
    -0.72
    raid
    -0.72
    armor
    -0.71
    ricks
    -0.70
    alin
    -0.70
    POSITIVE LOGITS
     foreseeable
    1.12
    ĸļ
    0.81
     ($)
    0.78
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.77
    ãĥĥãĤ¯
    0.75
    ties
    0.73
    ãĥ¼ãĥĨ
    0.71
    æĹ
    0.70
    Roaming
    0.70
    ãĤī
    0.69
    Activations Density 0.008%

    No Known Activations