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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
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    terms related to data encoding and decoding

    oai_token-act-pair · gpt-3.5-turbo

    terms related to encoding and decoding processes

    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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    No Comments

    Negative Logits
    inness
    -0.82
    iability
    -0.81
    alos
    -0.78
    ivan
    -0.78
    bull
    -0.75
    alsh
    -0.73
    stand
    -0.73
    lv
    -0.72
    vind
    -0.71
    java
    -0.71
    POSITIVE LOGITS
     encoded
    1.24
    oded
    1.17
     encode
    1.07
     encoding
    1.05
    oding
    1.02
    ãĥĥãĥī
    0.91
     decoding
    0.90
     coded
    0.86
     codec
    0.85
     decode
    0.85
    Activations Density 0.009%

    No Known Activations