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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. 6712
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    Explanations

    phrases related to official documents or agreements

    oai_token-act-pair · gpt-3.5-turbo

    references to official documents or memorandums

    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
    girl
    -0.87
    olf
    -0.82
    girls
    -0.81
    rex
    -0.80
    gil
    -0.76
    ku
    -0.74
    ille
    -0.74
    lar
    -0.74
    gary
    -0.72
    myra
    -0.71
    POSITIVE LOGITS
    andum
    1.36
    ĸļ
    0.92
     memorandum
    0.91
    isode
    0.89
     Memor
    0.81
    hift
    0.78
     Agreement
    0.75
     assurance
    0.75
    urations
    0.75
     Minutes
    0.74
    Activations Density 0.020%

    No Known Activations