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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. 4-RES-JB
    11. 19457
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    Explanations

    proper acronyms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the acronym "OL"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.90
    ãĥ¥
    -0.72
    ãĥ¼ãĥĨ
    -0.72
    ãĥ£
    -0.71
     Citizen
    -0.69
    ãĤ¢ãĥ«
    -0.69
    ãĥĥãĥī
    -0.68
    ãĥ¯ãĥ³
    -0.67
    ãĥ³ãĤ¸
    -0.66
     Winds
    -0.63
    POSITIVE LOGITS
    ipop
    1.05
    atile
    1.00
    UTION
    0.98
    VIDIA
    0.97
    ateral
    0.94
    OAD
    0.94
    ibrary
    0.93
    ONG
    0.92
    atility
    0.92
    ounge
    0.91
    Activations Density 0.012%

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