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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. 7-RES-JB
    11. 3152
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    Explanations

    verbs indicating progression or development

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating progress and completion of tasks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Julius
    -0.64
    States
    -0.62
    Britain
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     Contemporary
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     Nim
    -0.58
     Proceedings
    -0.57
     Allied
    -0.57
     explains
    -0.56
     Matth
    -0.56
     Electronic
    -0.56
    POSITIVE LOGITS
    ãĤ¦ãĤ¹
    0.79
    wcsstore
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    ãĥĨ
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    rontal
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    ortium
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    %:
    0.67
    ãĤ£
    0.65
    ãĥ¼ãĤ¯
    0.65
    °
    0.64
    cffffcc
    0.63
    Activations Density 0.103%

    No Known Activations