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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 5894
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    Explanations

    phrases related to geographical locations, particularly mentioning states

    oai_token-act-pair · gpt-3.5-turbo

    references to geographic locations and associated trends or characteristics

    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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    verson
    -0.62
    Glass
    -0.60
    ère
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    Weak
    -0.59
    ãĤ£
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    POSITIVE LOGITS
    ISSION
    0.78
    ikuman
    0.77
     volunt
    0.72
    Topic
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    0.67
     sights
    0.65
     ante
    0.65
     seams
    0.64
     ILCS
    0.64
    otos
    0.64
    Activations Density 0.149%

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